Triple

T3682691
Position Surface form Disambiguated ID Type / Status
Subject Stand by Me E78146 entity
Predicate writer P1360 FINISHED
Object Mike Stoller E310541 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: Mike Stoller | Statement: [Stand by Me, writer, Mike Stoller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Stoller
Context triple: [Stand by Me, writer, Mike Stoller]
  • A. Mike Stoller chosen
    Mike Stoller is an American songwriter and record producer best known as half of the legendary rock and roll songwriting duo Leiber and Stoller, who wrote numerous classic hits in the 1950s and 1960s.
  • B. Albert Kihn
    Albert Kihn is a cinematographer best known for his work on George Lucas’s dystopian science fiction film "THX 1138."
  • C. Joe Mardin
    Joe Mardin is an American music producer, arranger, and engineer known for his work across pop, R&B, and jazz, and as the son of legendary producer Arif Mardin.
  • D. Sam Phillips
    Sam Phillips was an influential American record producer and music executive best known for discovering and recording early rock and roll artists such as Elvis Presley, Johnny Cash, and Jerry Lee Lewis.
  • E. Bill Kramer
    Bill Kramer is an American entrepreneur best known for establishing the iconic independent bookstore and café Kramerbooks & Afterwords Cafe in Washington, D.C.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4948cc48190ab1f59cc4a2437cc completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4e5906481909c0d0989dde7743f completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:25 p.m.