Triple

T30548901
Position Surface form Disambiguated ID Type / Status
Subject Rangers of Fortune E777498 entity
Predicate cinematographyBy P1953 FINISHED
Object Theodor Sparkuhl E1275997 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: Theodor Sparkuhl | Statement: [Rangers of Fortune, cinematographyBy, Theodor Sparkuhl]

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_69f2249e19108190a458ab446096bf22 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68894669c8190b3d005f1d79d9b8e completed May 2, 2026, 11:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7c17e5ece08190aeb44dbe62347fb5 completed Aug. 12, 2026, 6:51 a.m.
Created at: April 29, 2026, 8:20 p.m.