Triple

T16875501
Position Surface form Disambiguated ID Type / Status
Subject Sidney Gilliat E421287 entity
Predicate coFounded P104 FINISHED
Object Individual Pictures E801137 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: Individual Pictures | Statement: [Sidney Gilliat, coFounded, Individual Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Individual Pictures
Context triple: [Sidney Gilliat, coFounded, Individual Pictures]
  • A. Individual Pictures chosen
    Individual Pictures is a film production company known for producing the classic British mystery-thriller "Green for Danger."
  • B. Other Pictures
    "Other Pictures" is a photography series by British fashion photographer Miles Aldridge, known for its highly stylized, vividly colored, and cinematic images.
  • C. Portraits
    Portraits is a renowned collection of Richard Avedon’s stark, psychologically revealing photographic portraits of notable figures and ordinary people.
  • D. Portraits
    Portraits is a renowned photography book by Helmut Newton featuring his distinctive, provocative images of celebrities and notable figures.
  • E. Porträts
    Porträts is a photographic series by German artist Thomas Ruff featuring large-format, passport-style portraits that explore identity, anonymity, and the nature of photographic representation.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f646308190b5e277b5f51cd315 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2b2e67c81908e2313491d16353f completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:29 a.m.