Triple

T28975929
Position Surface form Disambiguated ID Type / Status
Subject Bullet to the Head E734410 entity
Predicate director P255 FINISHED
Object Walter Hill E199367 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: Walter Hill | Statement: [Bullet to the Head, director, Walter Hill]

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_69f05b0d1e7c819092baab93d3fe277e completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65ee10fa4819092019f83769abbd6 completed May 2, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec5e492c819090d979e3c7ddf6cc completed June 7, 2026, 3:58 a.m.
Created at: April 28, 2026, 9:08 a.m.