Triple

T14644880
Position Surface form Disambiguated ID Type / Status
Subject 9 to 5 E343819 entity
Predicate producer P490 FINISHED
Object Bruce Gilbert E357139 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: Bruce Gilbert | Statement: [9 to 5, producer, Bruce Gilbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruce Gilbert
Context triple: [9 to 5, producer, Bruce Gilbert]
  • A. Bruce Gilbert chosen
    Bruce Gilbert is a film producer best known for his work on the acclaimed 1981 drama "On Golden Pond."
  • B. Gilbert Stork
    Gilbert Stork was a prominent 20th-century organic chemist renowned for pioneering methods in stereoselective synthesis and significantly advancing the field of synthetic organic chemistry.
  • C. Gilbert Adrian
    Gilbert Adrian was a renowned American costume designer best known for creating iconic Hollywood film wardrobes during the 1930s and 1940s.
  • D. Gilbert Prousch
    Gilbert Prousch is an Italian-born British artist best known as one half of the collaborative art duo Gilbert & George, recognized for their distinctive, provocative photo-based works and performance pieces.
  • E. Jim Giles
    Jim Giles is an entrepreneur best known as one of the founders of the semiconductor company Advanced Micro Devices (AMD).
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ea6d8481908e6331ca173c646b completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d5d05481908dbb23392c05d23b completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.