Triple

T7564482
Position Surface form Disambiguated ID Type / Status
Subject Tombstone E178877 entity
Predicate producer P490 FINISHED
Object Sean Daniel E410049 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: Sean Daniel | Statement: [Tombstone, producer, Sean Daniel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sean Daniel
Context triple: [Tombstone, producer, Sean Daniel]
  • A. Sean Daniel chosen
    Sean Daniel is an American film producer known for working on major Hollywood genre films, including horror and fantasy franchises.
  • B. Matthew Anden
    Matthew Anden was a German-born American actor known for his work in film and theater, including a role in the psychological drama "David and Lisa."
  • C. Sean Douglas
    Sean Douglas is an American songwriter and record producer known for co-writing hit pop songs for artists such as Demi Lovato, Jason Derulo, and Thomas Rhett.
  • D. Nicholas Saul
    Nicholas Saul was the founder of the institution that became the Academy of Natural Sciences of Drexel University, one of the oldest natural history museums and scientific research centers in the United States.
  • E. Steve Sullivan
    Steve Sullivan is a retired Canadian professional ice hockey player best known for his long NHL career as a skilled, undersized scoring forward.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fc6a408190abf363a29359e764 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856d8206081909987556fb6ab7084 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:50 p.m.