Triple

T15612971
Position Surface form Disambiguated ID Type / Status
Subject Mildred Hayes E375343 entity
Predicate residence P75 FINISHED
Object Ebbing, Missouri E1149003 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: Ebbing, Missouri | Statement: [Mildred Hayes, residence, Ebbing, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ebbing, Missouri
Context triple: [Mildred Hayes, residence, Ebbing, Missouri]
  • A. Ebbing, Missouri chosen
    Ebbing, Missouri is a fictional small town in the American Midwest, best known as the primary setting of the film "Three Billboards Outside Ebbing, Missouri."
  • B. Ewing, Missouri
    Ewing, Missouri is a small rural community located in Lewis County in the northeastern part of the state.
  • C. Eldridge, Missouri
    Eldridge, Missouri is a small unincorporated rural community located in Laclede County in the central part of the state.
  • D. Ellis, Missouri
    Ellis, Missouri is a small unincorporated community located in Vernon County in the western part of the U.S. state of Missouri.
  • E. Eugene, Missouri
    Eugene, Missouri is a small unincorporated community in central Missouri located within Cole County.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8148a0819087d6d69cc84487ca completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c4303888190a93830ef534715ae completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 4:13 a.m.