Triple

T2891175
Position Surface form Disambiguated ID Type / Status
Subject Merrick Garland E63826 entity
Predicate familyName P18 FINISHED
Object Garland E9807 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: Garland | Statement: [Merrick Garland, familyName, Garland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garland
Context triple: [Merrick Garland, familyName, Garland]
  • A. Garland chosen
    Garland is a large suburban city in the Dallas–Fort Worth metropolitan area known for its diverse community and mixed residential, commercial, and industrial character.
  • B. Crawford
    Crawford is a Scottish-origin surname borne by numerous notable figures across politics, sports, arts, and entertainment.
  • C. Ray Kaskey
    Ray Kaskey is an American sculptor best known for creating large-scale public monuments and architectural sculptures, including the bronze eagles and wreaths at the National World War II Memorial in Washington, D.C.
  • D. Dick Haymes
    Dick Haymes was a popular Argentine-born American traditional pop singer and actor prominent in the 1940s and 1950s.
  • E. Forrest Clare Allen
    Forrest Clare "Phog" Allen was a pioneering American college basketball coach at the University of Kansas, often called the "Father of Basketball Coaching" for his long tenure and major influence on the sport.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe05f98848190a33344fa780a3597 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03179d7448190bcdbea164856aaa2 completed March 10, 2026, 2:58 p.m.
Created at: March 6, 2026, 10:07 p.m.