Triple

T15976110
Position Surface form Disambiguated ID Type / Status
Subject Nell Benjamin E387451 entity
Predicate collaboratedWith P435 FINISHED
Object Casey Nicholaw E323986 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: Casey Nicholaw | Statement: [Nell Benjamin, collaboratedWith, Casey Nicholaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casey Nicholaw
Context triple: [Nell Benjamin, collaboratedWith, Casey Nicholaw]
  • A. Casey Nicholaw chosen
    Casey Nicholaw is a Tony Award–winning American director and choreographer known for his work on major Broadway musicals including The Book of Mormon, Aladdin, and Mean Girls.
  • B. Casey Deitz
    Casey Deitz is a musician best known as a member of the indie rock band Rogue Wave.
  • C. Casey Welson
    Casey Welson is a teenage kidnapping victim whose abduction drives the suspenseful plot of the 2013 thriller film "The Call."
  • D. Casey Jacobsen
    Casey Jacobsen is a former American professional basketball player and sharpshooting guard best known for his standout collegiate career at Stanford and subsequent years in the NBA and top European leagues.
  • E. Casey Schuler
    Casey Schuler is a fictional epidemiologist and disease specialist featured in the medical disaster film "Outbreak."
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1575166d081909c5275c235c8ce0f completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe8ce7788190a3e0aefc9a29d58a completed May 9, 2026, 11:09 p.m.
Created at: April 10, 2026, 4:54 a.m.