Triple

T5119024
Position Surface form Disambiguated ID Type / Status
Subject June Mathis E115412 entity
Predicate employer P7 FINISHED
Object Metro Pictures E55678 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: Metro Pictures | Statement: [June Mathis, employer, Metro Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro Pictures
Context triple: [June Mathis, employer, Metro Pictures]
  • A. Metro Pictures chosen
    Metro Pictures was an early 20th-century American film production and distribution company that later merged into Metro-Goldwyn-Mayer (MGM), helping form one of Hollywood’s major studios.
  • B. Blueprint Pictures
    Blueprint Pictures is a British film and television production company known for producing acclaimed dramas and feature films.
  • C. Monumental Pictures
    Monumental Pictures is a British film and television production company known for producing feature films such as the 2019 adaptation of "Cats."
  • D. Monumental Pictures
    Monumental Pictures is the fictional Hollywood film studio featured in the classic musical film "Singin' in the Rain."
  • E. Embassy Pictures
    Embassy Pictures was an American independent film production and distribution company known for releasing influential and offbeat films from the 1950s through the 1970s.
  • 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_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77cf6590819081488b739efae32c completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4a6a7988190b9beec3f0d9494d1 completed March 21, 2026, 4:17 p.m.
Created at: March 20, 2026, 1:42 p.m.