Triple

T9481827
Position Surface form Disambiguated ID Type / Status
Subject Whitney Blake E228658 entity
Predicate workedOn P3 FINISHED
Object 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.
 E803085 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: [Whitney Blake, workedOn, Hazel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hazel
Context triple: [Whitney Blake, workedOn, 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. 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.
  • D. 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.
  • E. Hazel Tyler
    Hazel Tyler is the mother of Vince Tyler, a character in the British television series "Queer as Folk."
  • 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: [Whitney Blake, workedOn, Hazel]
Generated description
Hazel is a classic American television sitcom from the 1960s centered on a witty live-in maid and the suburban family she works for.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hazel
Target entity description: Hazel is a classic American television sitcom from the 1960s centered on a witty live-in maid and the suburban family she works for.
  • 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. 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.
  • 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. Hazel Tyler
    Hazel Tyler is the mother of Vince Tyler, a character in the British television series "Queer as Folk."
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd804af6d08190a281cb27407c791c completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cfebb6c8190af3296c7bfd8b3e4 completed April 4, 2026, 3:23 p.m.
NEDg Description generation batch_69d12eba9968819085b9ec027c6e2814 completed April 4, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_69d12f1ccad08190907b812a12efa65b completed April 4, 2026, 3:32 p.m.
Created at: March 30, 2026, 7:55 p.m.