Triple

T15837894
Position Surface form Disambiguated ID Type / Status
Subject Baldwin III of Jerusalem E384029 entity
Predicate givenName P17 FINISHED
Object Baldwin E693952 NE FINISHED

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 III of Jerusalem, givenName, Baldwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baldwin
Context triple: [Baldwin III of Jerusalem, 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 (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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e3d48c8190ad0d0af89d062101 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13a83448190adcad8bb84622e55 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:49 a.m.