Triple

T9536121
Position Surface form Disambiguated ID Type / Status
Subject Kiki Cuyler E230018 entity
Predicate givenName P17 FINISHED
Object Hazel
Hazel is the given first name of American Baseball Hall of Famer Kiki Cuyler.
 E805607 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: Hazel | Statement: [Kiki Cuyler, givenName, Hazel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hazel
Context triple: [Kiki Cuyler, givenName, Hazel]
  • A. Hazel
    Hazel is a simple, good-hearted drifter in John Steinbeck’s novel "Cannery Row," known for his loyalty, comic misunderstandings, and unexpected moments of insight.
  • B. Hazel
    "Hazel" is a song featured on Bob Dylan’s 1974 album Planet Waves.
  • C. Hazel
    Hazel is a classic American television sitcom from the 1960s centered on a witty live-in maid and the suburban family she works for.
  • D. Lila
    Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
  • E. Lila
    Lila is a novel by Marilynne Robinson that continues her acclaimed Gilead series, exploring themes of grace, poverty, and belonging through the life of its enigmatic title character.
  • 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: Hazel
Triple: [Kiki Cuyler, givenName, Hazel]
Generated description
Hazel is the given first name of American Baseball Hall of Famer Kiki Cuyler.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hazel
Target entity description: Hazel is the given first name of American Baseball Hall of Famer Kiki Cuyler.
  • A. Hazel
    Hazel is a simple, good-hearted drifter in John Steinbeck’s novel "Cannery Row," known for his loyalty, comic misunderstandings, and unexpected moments of insight.
  • B. Hazel
    "Hazel" is a song featured on Bob Dylan’s 1974 album Planet Waves.
  • C. Hazel
    Hazel is a classic American television sitcom from the 1960s centered on a witty live-in maid and the suburban family she works for.
  • D. Lila
    Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
  • E. Lila
    Lila is a novel by Marilynne Robinson that continues her acclaimed Gilead series, exploring themes of grace, poverty, and belonging through the life of its enigmatic title character.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98cd6a5c8190835c0910ec38ede3 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c4f1fc08190a1ad3d862717eef3 completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14d44b7f08190b66fecb315b37535 completed April 4, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_69d14e0823e881908ed723d20f14789b completed April 4, 2026, 5:44 p.m.
Created at: March 30, 2026, 8 p.m.