Triple

T7231048
Position Surface form Disambiguated ID Type / Status
Subject Bill Haslam E154902 entity
Predicate familyName P18 FINISHED
Object Haslam
Haslam is a surname most prominently associated with Bill Haslam, the former governor of Tennessee and American businessman.
 E53502 NE FINISHED

How this triple was built (4 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: Haslam | Statement: [Bill Haslam, familyName, Haslam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haslam
Context triple: [Bill Haslam, familyName, Haslam]
  • A. Hagey
    Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
  • B. James A. Haslam II
    James A. Haslam II is an American businessman and philanthropist best known as the founder of the truck stop and travel center chain Pilot Flying J.
  • C. Blamey
    Blamey is a surname most notably associated with Sir Thomas Blamey, an Australian field marshal and senior military commander during World War II.
  • D. Bricklebaum
    Bricklebaum is a relentlessly cheerful and friendly Whoville resident who tries to befriend the Grinch in the 2018 animated adaptation of Dr. Seuss's classic story.
  • E. John Haglelgam
    John Haglelgam is a Micronesian politician who served as the second President of the Federated States of Micronesia from 1987 to 1991.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Haslam
Triple: [Bill Haslam, familyName, Haslam]
Generated description
Haslam is a surname most prominently associated with Bill Haslam, the former governor of Tennessee and American businessman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haslam
Target entity description: Haslam is a surname most prominently associated with Bill Haslam, the former governor of Tennessee and American businessman.
  • A. Hagey
    Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
  • B. James A. Haslam II chosen
    James A. Haslam II is an American businessman and philanthropist best known as the founder of the truck stop and travel center chain Pilot Flying J.
  • C. Blamey
    Blamey is a surname most notably associated with Sir Thomas Blamey, an Australian field marshal and senior military commander during World War II.
  • D. Bricklebaum
    Bricklebaum is a relentlessly cheerful and friendly Whoville resident who tries to befriend the Grinch in the 2018 animated adaptation of Dr. Seuss's classic story.
  • E. John Haglelgam
    John Haglelgam is a Micronesian politician who served as the second President of the Federated States of Micronesia from 1987 to 1991.
  • F. None of above.

Provenance (5 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea0f09648190b285993556f704d5 completed March 27, 2026, 8:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc22a39481909a2f38014260f302 completed March 28, 2026, 12:40 p.m.
NEDg Description generation batch_69c7cd95c8c48190aa4c7d086f03bc0f completed March 28, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_69c7ce1b5e0081908d8e68fb1c0bfd3e completed March 28, 2026, 12:48 p.m.
Created at: March 27, 2026, 2:54 p.m.