Triple

T35833163
Position Surface form Disambiguated ID Type / Status
Subject Katalin Kendeffy E1035854 entity
Predicate memberOf P10 FINISHED
Object Hungarian nobility E116657 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: Hungarian nobility | Statement: [Katalin Kendeffy, memberOf, Hungarian nobility]

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_69f76e192a94819082db360cb91e6a8d completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a928f9888190a3ffd2571f84d9da completed May 3, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a389c1d37e08190b29503c64b4ad77e completed June 22, 2026, 2:21 a.m.
Created at: May 3, 2026, 4:06 p.m.