Triple

T8566754
Position Surface form Disambiguated ID Type / Status
Subject Ozzie E202821 entity
Predicate romanticInterest P7325 FINISHED
Object Claire De Loone E211047 NE FINISHED

How this triple was built (2 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: Claire De Loone | Statement: [Ozzie, romanticInterest, Claire De Loone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire De Loone
Context triple: [Ozzie, romanticInterest, Claire De Loone]
  • A. Claire de Loone chosen
    Claire de Loone is a prim, intellectual anthropologist and one of the three main female leads in the classic Broadway musical "On the Town."
  • B. Sue Lyon
    Sue Lyon was an American actress best known for her provocative title role in Stanley Kubrick’s film "Lolita" (1962).
  • C. Cheryl White
    Cheryl White is a supporting character in the sports drama film "McFarland, USA," depicted as part of the community surrounding the high school cross-country team.
  • D. Jean Simmons
    Jean Simmons was a British actress acclaimed for her versatile performances in classic films from the 1940s through the 1960s, including major roles in both British cinema and Hollywood epics.
  • E. Audrey Harrison
    Audrey Harrison was the mother of British historian Charles Townshend, known for his work on modern Irish and British political history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d467c08190b2014d71ebbf8bbc completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce897098388190a1d445978d97def3 completed April 2, 2026, 3:21 p.m.
Created at: March 30, 2026, 6:20 p.m.