Triple

T10414628
Position Surface form Disambiguated ID Type / Status
Subject David Korins E245483 entity
Predicate collaboratedWith P435 FINISHED
Object Alex Timbers E412737 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: Alex Timbers | Statement: [David Korins, collaboratedWith, Alex Timbers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alex Timbers
Context triple: [David Korins, collaboratedWith, Alex Timbers]
  • A. Alex Timbers chosen
    Alex Timbers is a Tony Award–winning American theater director and writer known for his inventive, visually bold stagings on Broadway and beyond.
  • B. Rick Elice
    Rick Elice is an American playwright and theatrical writer best known as the co-writer of the hit musical "Jersey Boys" and the play "Peter and the Starcatcher."
  • C. Derek Farr
    Derek Farr was a British film and television actor known for his character roles in mid-20th-century war dramas and crime thrillers.
  • D. Jon Jory
    Jon Jory is an influential American theatre director, producer, and educator best known for his leadership at Actors Theatre of Louisville and his impact on contemporary regional theatre.
  • E. Daniel Waters
    Daniel Waters is an American screenwriter best known for his sharp, satirical scripts, including the cult classic film "Heathers" and the sci-fi action movie "Demolition Man."
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0f7d188190a60a7c3832c51515 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f7bfce881908239cbb0915a5b81 completed April 10, 2026, 6:58 a.m.
Created at: April 6, 2026, 12:10 p.m.