Triple

T13297289
Position Surface form Disambiguated ID Type / Status
Subject Simeon Eben Baldwin E316718 entity
Predicate familyName P18 FINISHED
Object Baldwin E70038 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: [Simeon Eben Baldwin, familyName, Baldwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baldwin
Context triple: [Simeon Eben Baldwin, familyName, Baldwin]
  • A. Baldwin chosen
    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
    Baldwin is a masculine given name of Germanic origin that has been borne by various European nobles and historical figures.
  • E. Mr. Baldwin
    Mr. Baldwin is a fictional character appearing in Evelyn Waugh’s satirical novel "Scoop."
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a2f2708190a8f2aa7e7c0b92d2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716dad3648190bf360955fbdfb2f0 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.