Triple

T10495753
Position Surface form Disambiguated ID Type / Status
Subject Baker House, MIT E247532 entity
Predicate hasNickname P39 FINISHED
Object Baker E645684 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: [Baker House, MIT, hasNickname, Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baker
Context triple: [Baker House, MIT, hasNickname, Baker]
  • A. Baker
    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. Baker chosen
    Baker is a residential dormitory at the Massachusetts Institute of Technology known for its distinctive architecture and vibrant student community.
  • E. La Baker
    La Baker is the nickname of Josephine Baker, the iconic American-born French entertainer, civil rights activist, and World War II resistance agent.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098be488819083d614f528cd82fb completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcbafe9481908fb23cfdf150adac completed April 10, 2026, 11:19 a.m.
Created at: April 6, 2026, 12:24 p.m.