Triple

T14894804
Position Surface form Disambiguated ID Type / Status
Subject Mike Fries E359843 entity
Predicate givenName P17 FINISHED
Object Mike
Mike is a common masculine given name, often a short form of Michael, used widely in English-speaking countries.
 E1059131 NE FINISHED

How this triple was built (4 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: Mike | Statement: [Mike Fries, givenName, Mike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mike
Context triple: [Mike Fries, givenName, Mike]
  • A. Mike
    Mike is a character in Terrence McNally’s play "The Lisbon Traviata," which explores themes of friendship, obsession, and gay relationships.
  • B. Mike
    Mike is the young boy protagonist of the 1992 family adventure film "Radio Flyer," which centers on his imaginative efforts to escape a troubled home life with his brother.
  • C. Mike
    Mike is the central con artist protagonist in David Mamet’s 1987 psychological thriller film "House of Games."
  • D. Mike
    Mike is the nickname of the fictional character Macaulay "Mike" Connor.
  • E. Mike
    Mike is the commonly used nickname for Robert Michael Bellotti.
  • 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: Mike
Triple: [Mike Fries, givenName, Mike]
Generated description
Mike is a common masculine given name, often a short form of Michael, used widely in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mike
Target entity description: Mike is a common masculine given name, often a short form of Michael, used widely in English-speaking countries.
  • A. Mike chosen
    Mike is a common masculine given name, often used as a short form of Michael.
  • B. Mike
    Mike is the commonly used nickname for Robert Michael Bellotti.
  • C. Mike
    Mike is the nickname of the fictional character Macaulay "Mike" Connor.
  • D. Mike
    Mike is the given name of Lt. Mike Stone, a fictional San Francisco homicide detective from the television series "The Streets of San Francisco."
  • E. Mike
    Mike is the young boy protagonist of the 1992 family adventure film "Radio Flyer," which centers on his imaginative efforts to escape a troubled home life with his brother.
  • F. None of above.

Provenance (5 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f9d10c819091732d7a5a42a682 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b679fb081908cf8f41acfba3b99 completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6cc2ccb0819081e32dc9d2e3973a completed May 8, 2026, 11:07 p.m.
NED2 Entity disambiguation (via description) batch_69fe6d9e9a648190920206c8f75cae2e completed May 8, 2026, 11:11 p.m.
Created at: April 10, 2026, 2:10 a.m.