Triple

T6666103
Position Surface form Disambiguated ID Type / Status
Subject Intentional Talk E151606 entity
Predicate host P2592 FINISHED
Object Chris Rose E621947 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: Chris Rose | Statement: [Intentional Talk, host, Chris Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Rose
Context triple: [Intentional Talk, host, Chris Rose]
  • A. Chris Rose chosen
    Chris Rose is an American sportscaster best known for his long-running work as a baseball studio host and commentator, including on MLB Network.
  • B. Ali Rose
    Ali Rose is the ambitious small-town singer and dancer who becomes the central star of the Los Angeles burlesque club in the film "Burlesque."
  • C. Brian Routh
    Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
  • D. Eric McLeod
    Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
  • E. Ben Stevens
    Ben Stevens is an American lawyer and former Alaska state senator, best known as the son of longtime U.S. Senator Ted Stevens.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b09d97648190a254cabc0ffcb0dc completed March 27, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f79fa7c81909904de229cb4ed50 completed March 28, 2026, 1:31 a.m.
Created at: March 27, 2026, 2:02 p.m.