Triple

T1524472
Position Surface form Disambiguated ID Type / Status
Subject Juilliard School E32303 entity
Predicate hasAlumni P51 FINISHED
Object Robin Williams E49201 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: Robin Williams | Statement: [Juilliard School, hasAlumni, Robin Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robin Williams
Context triple: [Juilliard School, hasAlumni, Robin Williams]
  • A. Robin Williams chosen
    Robin Williams was an acclaimed American actor and comedian known for his rapid-fire improvisational style and memorable roles in films such as "Good Will Hunting," "Dead Poets Society," and "Mrs. Doubtfire."
  • B. Thomas Haden Church
    Thomas Haden Church is an American actor known for roles in the TV series "Wings" and films such as "Sideways" and "Spider-Man 3."
  • C. Steve Martin
    Steve Martin is an American comedian, actor, writer, and musician renowned for his influential stand-up comedy, film roles, and contributions to American humor.
  • D. Bill Murray
    Bill Murray is an American actor and comedian renowned for his deadpan humor and iconic roles in films such as "Ghostbusters," "Groundhog Day," and "Lost in Translation."
  • E. James Woods
    James Woods is an American actor known for his intense performances in film and television, including acclaimed roles in movies such as "Salvador," "Videodrome," and "Casino."
  • 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9080175588190bb3b1d4b17966f2f completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad2951c1ec8190b7ac04cd820a2bfa completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:26 p.m.