Triple

T4560120
Position Surface form Disambiguated ID Type / Status
Subject Drop Dead Gorgeous E120571 entity
Predicate writer P1360 FINISHED
Object Lona Williams E453375 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: Lona Williams | Statement: [Drop Dead Gorgeous, writer, Lona Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lona Williams
Context triple: [Drop Dead Gorgeous, writer, Lona Williams]
  • A. Lona Williams chosen
    Lona Williams is an American screenwriter and producer best known for writing the dark comedy film "Drop Dead Gorgeous."
  • B. Ramona Isabel Wright
    Ramona Isabel Wright is the daughter of Tré Cool, the drummer of the American punk rock band Green Day.
  • C. Zora Folley
    Zora Folley was an American heavyweight boxer of the 1950s and 1960s, best known for challenging Muhammad Ali for the world title in 1967.
  • D. Leola Brown
    Leola Brown was the wife of Oliver Brown, the named plaintiff in the landmark U.S. Supreme Court school desegregation case Brown v. Board of Education.
  • E. Leontine Drinkard
    Leontine Drinkard was a member of the prominent Warwick–Houston musical family, known as the matriarchal lineage behind singers like Cissy Houston and Whitney Houston.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd582b871c8190be0b70c76d639000 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa1eb59081909d0f6ac93c1d6639 completed March 21, 2026, 1:53 a.m.
Created at: March 20, 2026, 1:09 p.m.