Triple

T3651573
Position Surface form Disambiguated ID Type / Status
Subject Wrap Around Joy E77427 entity
Predicate contributor P1993 FINISHED
Object Tom Scott E248282 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: Tom Scott | Statement: [Wrap Around Joy, contributor, Tom Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Scott
Context triple: [Wrap Around Joy, contributor, Tom Scott]
  • A. Tom Scott chosen
    Tom Scott is an American saxophonist, composer, and bandleader known for his prolific session work, jazz-fusion recordings, and numerous film and television scores.
  • B. Brian Babin
    Brian Babin is a Republican U.S. Representative from Texas known for his conservative positions on immigration, energy, and space policy.
  • C. Tom Chambers
    Tom Chambers is an American professional basketball player and four-time NBA All-Star known for his high-scoring ability during the 1980s and early 1990s.
  • D. Mark Connally
    Mark Connally is the son of former Texas First Lady Nellie Connally and prominent Texas politician John Connally.
  • E. Colin Allred
    Colin Allred is an American Democratic politician and former NFL player who serves in the U.S. House of Representatives from Texas.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3b664448190986b5223d59de282 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f435c088190976c1dab165665f1 completed March 13, 2026, 5:54 p.m.
Created at: March 8, 2026, 3:24 p.m.