Triple

T29868901
Position Surface form Disambiguated ID Type / Status
Subject Clive Franks E758533 entity
Predicate employerOrClient P7 FINISHED
Object Elton John E39424 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: Elton John | Statement: [Clive Franks, employerOrClient, Elton John]

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_69f2245d0d7081909e37ee328542bcd7 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6768b2bf48190af4821d43d7ee766 completed May 2, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a271409b05c81908aeea1bd67ca2345 completed June 8, 2026, 7:12 p.m.
Created at: April 29, 2026, 5:52 p.m.