Triple

T9214791
Position Surface form Disambiguated ID Type / Status
Subject Images à la sauvette E221214 entity
Predicate associatedWith P37 FINISHED
Object Magnum Photos E129941 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: Magnum Photos | Statement: [Images à la sauvette, associatedWith, Magnum Photos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magnum Photos
Context triple: [Images à la sauvette, associatedWith, Magnum Photos]
  • A. Magnum Photos chosen
    Magnum Photos is a renowned international photographic cooperative founded in 1947, known for its influential documentary and photojournalistic work by some of the world’s leading photographers.
  • B. Magnum
    Magnum is an OpenStack service that provides container orchestration engines like Kubernetes and Docker Swarm on OpenStack infrastructure.
  • C. Magnum
    Magnum is a popular global ice cream brand known for its premium chocolate-coated ice cream bars.
  • D. Irving Penn
    Irving Penn was a renowned American photographer celebrated for his elegant fashion images, still lifes, and portraiture for magazines such as Vogue.
  • E. Cornell Capa
    Cornell Capa was a Hungarian-American photographer and curator best known for founding the International Center of Photography in New York City and championing the tradition of concerned photojournalism.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda0830a8819096a186ed2e976cba completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0778e8dc48190bbae39137df966e3 completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:27 p.m.