Triple

T13015968
Position Surface form Disambiguated ID Type / Status
Subject Max O’Hara E322551 entity
Predicate bringsTo P33453 FINISHED
Object Joe
Joe is an individual associated with Max O’Hara, likely a person involved in the same context or storyline as him.
E1028163 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Joe | Statement: [Max O’Hara, bringsTo, Joe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe
Context triple: [Max O’Hara, bringsTo, Joe]
  • A. Joe
    Joe is a central character in the classic 1959 comedy film "Some Like It Hot," where he is one of two musicians who disguise themselves as women to escape mobsters.
  • B. Joe
    Joe is a notable artwork created by Japanese photographer and artist Hiroshi Sugimoto.
  • C. Joe
    Joe is the given name of Joe Oros, an American automobile designer best known for leading the design of the original Ford Mustang.
  • D. Joe
    Joe is a central immortal warrior in the film "The Old Guard," known for his deep bond with fellow immortal Nicky and his role in the covert team of centuries-old fighters.
  • E. Joe
    Joe is the given name of American actor Joe Spano, known for his roles in television series such as "Hill Street Blues" and "NCIS."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Joe
Triple: [Max O’Hara, bringsTo, Joe]
Generated description
Joe is an individual associated with Max O’Hara, likely a person involved in the same context or storyline as him.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joe
Target entity description: Joe is an individual associated with Max O’Hara, likely a person involved in the same context or storyline as him.
  • A. Joe
    Joe is a fictional character from the film "Beauty Shop," contributing to the movie’s comedic and dramatic storyline.
  • B. Joe
    Joe is a common masculine given name, often a short form of Joseph, used widely in English-speaking countries.
  • C. Joe
    Joe is the given name of Cajun Joe Caldwell, likely referring to him in a more informal or familiar context.
  • D. Joe
    Joe is the given name of American actor Joe Spano, known for his roles in television series such as "Hill Street Blues" and "NCIS."
  • E. Joe
    Joe is a central character in the musical "The Most Happy Fella," serving as the young, attractive ranch hand whose romantic involvement complicates the story’s love triangle.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bringsTo
Context triple: [Max O’Hara, bringsTo, Joe]
  • A. broughtTo chosen
    Indicates that one entity caused another entity or object to be transported or accompanied to a particular destination or recipient.
  • B. carriedTo
    Indicates that one entity transported or conveyed another entity from one place to another.
  • C. launchesTo
    Indicates that one entity initiates the sending or propulsion of another entity toward a specific destination or into a particular trajectory.
  • D. broughtStyleTo
    Indicates that one entity introduced or contributed a particular style or aesthetic to another entity or context.
  • E. directedTo
    Indicates that something is sent, aimed, or addressed toward a particular target or recipient.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecd04748190ade2530ee5db35fe completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff02c1448190b0b41beb427fae23 completed May 3, 2026, 7:53 a.m.
NEDg Description generation batch_69f6ffeec1e8819090e1917fc6449ede completed May 3, 2026, 7:57 a.m.
NED2 Entity disambiguation (via description) batch_69f7017d8d308190bb54958764026325 completed May 3, 2026, 8:04 a.m.
PD Predicate disambiguation batch_69d97dc153a081909d13a694993f074a completed April 10, 2026, 10:46 p.m.
Created at: April 9, 2026, 8:50 p.m.