Triple

T21714596
Position Surface form Disambiguated ID Type / Status
Subject Henry Halls E535991 entity
Predicate familyName P18 FINISHED
Object Halls
Halls is a surname of English origin borne by various notable individuals across fields such as sports, arts, and public life.
E1497783 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: Halls | Statement: [Henry Halls, familyName, Halls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halls
Context triple: [Henry Halls, familyName, Halls]
  • A. Halls
    Halls is a popular brand of mentholated cough drops and throat lozenges sold worldwide.
  • B. The Hall
    The Hall is the popular nickname for Calihan Hall, an indoor arena on the University of Detroit Mercy campus known primarily as the home of the Titans basketball program.
  • C. The Hall
    The Hall is an English country estate historically associated with the baronetcy of Sir Robert Montgomery, 1st Baronet.
  • D. Kit Halls
    Kit Halls is one of the children of American actor Matt Bomer and his husband, publicist Simon Halls.
  • E. Hall H
    Hall H is the massive, high-profile main presentation hall at San Diego Comic-Con, famed for hosting the convention’s biggest and most anticipated panels and premieres.
  • 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: Halls
Triple: [Henry Halls, familyName, Halls]
Generated description
Halls is a surname of English origin borne by various notable individuals across fields such as sports, arts, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Halls
Target entity description: Halls is a surname of English origin borne by various notable individuals across fields such as sports, arts, and public life.
  • A. Halls
    Halls is a popular brand of mentholated cough drops and throat lozenges sold worldwide.
  • B. The Hall
    The Hall is the popular nickname for Calihan Hall, an indoor arena on the University of Detroit Mercy campus known primarily as the home of the Titans basketball program.
  • C. The Hall
    The Hall is an English country estate historically associated with the baronetcy of Sir Robert Montgomery, 1st Baronet.
  • D. Kit Halls
    Kit Halls is one of the children of American actor Matt Bomer and his husband, publicist Simon Halls.
  • E. Hall H
    Hall H is the massive, high-profile main presentation hall at San Diego Comic-Con, famed for hosting the convention’s biggest and most anticipated panels and premieres.
  • F. None of above. chosen

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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb5369be88190bafc10863d4d1bd7 completed April 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a24b38cc08190b765e50d5135a932 completed May 17, 2026, 8:27 p.m.
NEDg Description generation batch_6a0a25d1c95c8190a4140c494ac0a8f7 completed May 17, 2026, 8:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0a268dd6c4819081c1bf83513bb8b8 completed May 17, 2026, 8:35 p.m.
Created at: April 16, 2026, 6:47 p.m.