Triple

T905161
Position Surface form Disambiguated ID Type / Status
Subject Ella Baker E19530 entity
Predicate familyName P18 FINISHED
Object Baker E21223 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: Baker | Statement: [Ella Baker, familyName, Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baker
Context triple: [Ella Baker, familyName, Baker]
  • A. Baker chosen
    Baker is a common English occupational surname originally given to people who baked bread or worked in a bakery.
  • B. Baker
    Baker is a small desert town in San Bernardino County, California, known as a roadside stop and gateway to Death Valley for travelers along Interstate 15 between Los Angeles and Las Vegas.
  • C. Baker
    Baker was the second of the 1946 Operation Crossroads nuclear tests at Bikini Atoll, notable as an underwater detonation used to study the effects of nuclear explosions on naval ships and equipment.
  • D. Geo Baker
    Geo Baker is an American former college basketball guard best known for his standout career and leadership with the Rutgers Scarlet Knights men's basketball program.
  • E. Beekman
    Beekman is a small town in Dutchess County, New York, known for its rural character and residential communities within the Hudson Valley region.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2caf4088190ab05b22531ecec43 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c7391e6c8190836e8d7e7fdf9c93 completed March 4, 2026, 5:46 a.m.
Created at: March 1, 2026, 7:39 p.m.