Triple

T6091703
Position Surface form Disambiguated ID Type / Status
Subject Nine Lives E135779 entity
Predicate stars P1956 FINISHED
Object Sydney Tamiia Poitier E529125 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: Sydney Tamiia Poitier | Statement: [Nine Lives, stars, Sydney Tamiia Poitier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sydney Tamiia Poitier
Context triple: [Nine Lives, stars, Sydney Tamiia Poitier]
  • A. Sydney Tamiia Poitier chosen
    Sydney Tamiia Poitier is an American actress known for her work in film and television and as the daughter of legendary actor Sidney Poitier.
  • B. Beah Richards
    Beah Richards was an acclaimed American actress, poet, and civil rights activist known for her powerful performances on stage and screen, including her Oscar-nominated role in "Guess Who's Coming to Dinner."
  • C. Susaye Greene
    Susaye Greene is an American singer and songwriter best known as one of the later members of the legendary Motown group The Supremes.
  • D. Viveca Paulin-Ferrell
    Viveca Paulin-Ferrell is a Swedish-born art auctioneer and producer best known as the wife of actor and comedian Will Ferrell.
  • E. Lonette McKee
    Lonette McKee is an American actress, singer, and songwriter best known for her roles in films like "Sparkle" and "Brewster's Millions" and for her work on stage and television.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057ab7324819086d4708e6f9391c0 completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c12531d764819083e1bb37d8c81a6c completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:12 p.m.