Triple

T2925700
Position Surface form Disambiguated ID Type / Status
Subject Ahmet Ertegun E78836 entity
Predicate workedWith P398 FINISHED
Object Sam and Dave E80912 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: Sam and Dave | Statement: [Ahmet Ertegun, workedWith, Sam and Dave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam and Dave
Context triple: [Ahmet Ertegun, workedWith, Sam and Dave]
  • A. Pat and Mike
    Pat and Mike is a 1952 sports comedy film starring Katharine Hepburn and Spencer Tracy, known for its witty script and depiction of a female athlete challenging gender norms.
  • B. Sam & Dave chosen
    Sam & Dave were a legendary American soul and R&B duo best known for their energetic performances and classic hits like "Soul Man" and "Hold On, I'm Comin'."
  • C. Davis & Rock
    Davis & Rock was an early venture capital firm co-founded by pioneering investor Arthur Rock that helped finance some of Silicon Valley’s first major technology companies.
  • D. Davey
    Davey is a diminutive given name, typically used as a familiar or affectionate form of David.
  • E. Armet & Davis
    Armet & Davis was a mid-20th-century American architectural firm best known for its futuristic, space-age commercial designs that helped define the Googie style, especially in coffee shops and roadside restaurants.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97c086888190ba51ce659a6c4f50 completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0563a81788190b94fab34e41a76e7 completed March 10, 2026, 5:34 p.m.
Created at: March 8, 2026, 2:55 p.m.