Triple

T4854956
Position Surface form Disambiguated ID Type / Status
Subject Hannah Jeter E108513 entity
Predicate familyName P18 FINISHED
Object Davis E88506 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: Davis | Statement: [Hannah Jeter, familyName, Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davis
Context triple: [Hannah Jeter, familyName, Davis]
  • A. Davis
    Davis is an underground rapid transit station in Somerville, Massachusetts, on Boston’s MBTA Red Line.
  • B. Davis
    Davis is the individual or party who served as the respondent in the U.S. Supreme Court case Steward Machine Co. v. Davis, which addressed the constitutionality of certain New Deal-era federal taxation and social welfare provisions.
  • C. Davis chosen
    Davis is a common English-language surname of Scottish and Welsh origin, often meaning "son of David."
  • D. Davis
    Davis is a small Northern California city known for hosting the University of California, Davis and for its strong emphasis on education, agriculture, and bicycle-friendly urban planning.
  • E. Davis
    Davis is a Chicago Transit Authority 'L' station on the Purple Line serving downtown Evanston, Illinois.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d3c9d7881908c04cef2cb7db745 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5ce7385c8190897fd2343c0ebeed completed March 21, 2026, 8:55 a.m.
Created at: March 20, 2026, 1:26 p.m.