Triple

T22596430
Position Surface form Disambiguated ID Type / Status
Subject Isadora E574693 entity
Predicate cinematographyBy P1953 FINISHED
Object Larry Pizer E945100 NE FINISHED

How this triple was built (1 step)

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: Larry Pizer | Statement: [Isadora, cinematographyBy, Larry Pizer]

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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f16269a56881909bb5af0258150f93 completed April 29, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10b6f49d588190960982c7aead9b7b completed May 22, 2026, 8:05 p.m.
Created at: April 17, 2026, 2:50 p.m.