Triple

T8010169
Position Surface form Disambiguated ID Type / Status
Subject Thomas Kostura E186467 entity
Predicate legalActionAgainst P3996 FINISHED
Object Bill Haslam E154902 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: Bill Haslam | Statement: [Thomas Kostura, legalActionAgainst, Bill Haslam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Haslam
Context triple: [Thomas Kostura, legalActionAgainst, Bill Haslam]
  • A. Bill Haslam chosen
    Bill Haslam is an American businessman and Republican politician who served as the 49th governor of Tennessee from 2011 to 2019.
  • B. Ryan Gravel
    Ryan Gravel is an urban planner and designer best known for conceiving the Atlanta BeltLine, a transformative redevelopment and transit project encircling Atlanta.
  • C. Bill Rasmussen
    Bill Rasmussen is an American sports broadcasting executive best known for creating ESPN, the first 24-hour cable sports television network.
  • D. Raúl Labrador
    Raúl Labrador is an American Republican politician and attorney from Idaho, known for his staunchly conservative views and role as a founding member of the House Freedom Caucus.
  • E. Mark W. Hamlin
    Mark W. Hamlin is an individual notable enough to be specifically cited as a bearer of the Hamlin surname, likely for professional or public contributions.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d70caf8819090a9f98025470c0d completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56a54e8081908208b57b7390cc95 completed March 31, 2026, 11:20 p.m.
Created at: March 30, 2026, 5:19 p.m.