Triple

T11680545
Position Surface form Disambiguated ID Type / Status
Subject American Heart E277602 entity
Predicate castMember P1668 FINISHED
Object Michele Little E747064 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: Michele Little | Statement: [American Heart, castMember, Michele Little]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michele Little
Context triple: [American Heart, castMember, Michele Little]
  • A. Michele Little chosen
    Michele Little is an American former film and television actress known for her work in the 1980s and early 1990s.
  • B. Michele Bullock
    Michele Bullock is an Australian economist and central banker who serves as the Governor of the Reserve Bank of Australia, overseeing the country’s monetary policy.
  • C. Michele Lamar Richards
    Michele Lamar Richards is an American actress best known for her supporting role in the 1992 romantic thriller film "The Bodyguard."
  • D. Kevin Liles
    Kevin Liles is an American music executive and entrepreneur best known for his leadership roles at Def Jam Recordings and later at Warner Music Group.
  • E. Najee Smith
    Najee Smith is one of the children of American rapper and actor LL Cool J.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a461b0908190bef4e1c6777affcf completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef141134bc81908c0cfb0a3711c115 completed April 27, 2026, 7:45 a.m.
Created at: April 8, 2026, 9:40 p.m.