Triple

T19885642
Position Surface form Disambiguated ID Type / Status
Subject Baldwin V, Count of Hainaut E477892 entity
Predicate givenName P17 FINISHED
Object Baldwin NE NERFINISHED

How this triple was built (2 steps)

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: Baldwin | Statement: [Baldwin V, Count of Hainaut, givenName, Baldwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baldwin
Context triple: [Baldwin V, Count of Hainaut, givenName, Baldwin]
  • A. Baldwin
    Baldwin is a common English surname of Anglo-Saxon origin that has been borne by numerous notable figures in literature, politics, and entertainment.
  • B. Baldwin
    Baldwin is a small rural community located within the town of Georgina in Ontario, Canada.
  • C. Baldwin
    Baldwin is a small township and rural community located within Ontario’s Sudbury District in Canada.
  • D. Baldwin chosen
    Baldwin is a masculine given name of Germanic origin that has been borne by various European nobles and historical figures.
  • E. Baldwin
    Baldwin is a small city in northeastern Georgia, United States, known for straddling Habersham and Banks counties along the foothills of the Blue Ridge Mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659093df081909d3be9c3caeb79ba completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.