Triple

T16168335
Position Surface form Disambiguated ID Type / Status
Subject Harley Cooper E392366 entity
Predicate givenName P17 FINISHED
Object Harley
Harley is a given name commonly used for both males and females, often associated with English-speaking countries.
 E1198298 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: Harley | Statement: [Harley Cooper, givenName, Harley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harley
Context triple: [Harley Cooper, givenName, Harley]
  • A. Harley
    Harley is the central protagonist of Tyler Perry’s film "Temptation: Confessions of a Marriage Counselor," whose personal and marital struggles drive the story’s exploration of infidelity and its consequences.
  • B. Harley
    Harley is an English surname historically associated with prominent political figures such as Robert Harley, 1st Earl of Oxford and Earl Mortimer.
  • C. Harley
    Harley is the given name of the English actor, director, and playwright Granville Barker, a key figure in early 20th-century British theatre.
  • D. Harley
    Harley is the middle name of Henry "Hap" Arnold, a pioneering American air commander and General of the Air Force during World War II.
  • E. Harley
    Harley is a troubled young heroin addict whose tumultuous relationship and self-destructive behavior drive the narrative of the film "Heaven Knows What."
  • 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: Harley
Triple: [Harley Cooper, givenName, Harley]
Generated description
Harley is a given name commonly used for both males and females, often associated with English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harley
Target entity description: Harley is a given name commonly used for both males and females, often associated with English-speaking countries.
  • A. Harley
    Harley is the middle name of Henry "Hap" Arnold, a pioneering American air commander and General of the Air Force during World War II.
  • B. Harley
    Harley is the central protagonist of Tyler Perry’s film "Temptation: Confessions of a Marriage Counselor," whose personal and marital struggles drive the story’s exploration of infidelity and its consequences.
  • C. Harley
    Harley is an English surname historically associated with prominent political figures such as Robert Harley, 1st Earl of Oxford and Earl Mortimer.
  • D. Harley
    Harley is a troubled young heroin addict whose tumultuous relationship and self-destructive behavior drive the narrative of the film "Heaven Knows What."
  • E. Harley
    Harley is the given name of the English actor, director, and playwright Granville Barker, a key figure in early 20th-century British theatre.
  • F. None of above. chosen

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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb4ea9c81908806f9771ae80148 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bb6aac8190a33607abfe9a32d0 completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff9bb09c48190881c0f70bae0aec8 completed May 10, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69fffa5186b88190971d3c5061503541 completed May 10, 2026, 3:24 a.m.
Created at: April 10, 2026, 5:02 a.m.