Triple

T16326093
Position Surface form Disambiguated ID Type / Status
Subject Margaret Avery E396422 entity
Predicate name P16 FINISHED
Object Margaret Avery NE NERFINISHED

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: Margaret Avery | Statement: [Margaret Avery, name, Margaret Avery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Avery
Context triple: [Margaret Avery, name, Margaret Avery]
  • A. Margaret Avery chosen
    Margaret Avery is an American actress best known for her Academy Award–nominated performance as Shug Avery in the film adaptation of "The Color Purple."
  • B. Margaret Pumphrey
    Margaret Pumphrey was the wife of British-born American actor Victor McLaglen, an Academy Award–winning star of early 20th-century cinema.
  • C. Margaret Harper
    Margaret Harper was the wife of Sir Thomas Pope, a prominent 16th-century English courtier and founder of Trinity College, Oxford.
  • D. Margaret Norris
    Margaret Norris was a member of the prominent Norris family, known primarily as the daughter of influential hockey executive and Detroit Red Wings owner James E. Norris.
  • E. Margaret Langrick
    Margaret Langrick is a Canadian former actress best known for her role as the teenage daughter in the 1987 family film "Harry and the Hendersons."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b9dcb88190beb0ca2206729175 completed April 17, 2026, 8:23 p.m.
Created at: April 10, 2026, 5:06 a.m.