Triple

T37820525
Position Surface form Disambiguated ID Type / Status
Subject Middle Dutch Arthurian romances E942899 entity
Predicate featureCharacter P23263 FINISHED
Object Lancelot E38009 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: Lancelot | Statement: [Middle Dutch Arthurian romances, featureCharacter, Lancelot]

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_69f76ee987588190906506e759be5db3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbb1c4c0d481909bc4750b40f27939 completed May 6, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41041470c4819092a7d29c3a85f333 completed June 28, 2026, 11:23 a.m.
Created at: May 3, 2026, 4:19 p.m.