Triple

T5550522
Position Surface form Disambiguated ID Type / Status
Subject Matt Bomer E145513 entity
Predicate hasChild P369 FINISHED
Object Kit Halls
Kit Halls is one of the children of American actor Matt Bomer and his husband, publicist Simon Halls.
 E527822 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: Kit Halls | Statement: [Matt Bomer, hasChild, Kit Halls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kit Halls
Context triple: [Matt Bomer, hasChild, Kit Halls]
  • A. Simon Hall
    Simon Hall is a primary academic and administrative building at Washington University's Olin Business School that houses classrooms, offices, and student facilities.
  • B. Batasan Hall
    Batasan Hall is the main legislative building in the Philippines where the House of Representatives holds its sessions.
  • C. Skip Hall
    Skip Hall is an American politician who serves as the mayor of Surprise, Arizona.
  • D. Paul Hamlyn Hall
    Paul Hamlyn Hall is a glass-vaulted atrium and performance space at London’s Royal Opera House, known for its striking architecture and use as a venue for events, dining, and informal performances.
  • E. Cross Hall
    Cross Hall is a central ceremonial corridor on the State Floor of the White House that connects key rooms and serves as a prominent space for presidential processions and receptions.
  • 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: Kit Halls
Triple: [Matt Bomer, hasChild, Kit Halls]
Generated description
Kit Halls is one of the children of American actor Matt Bomer and his husband, publicist Simon Halls.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kit Halls
Target entity description: Kit Halls is one of the children of American actor Matt Bomer and his husband, publicist Simon Halls.
  • A. Simon Hall
    Simon Hall is a primary academic and administrative building at Washington University's Olin Business School that houses classrooms, offices, and student facilities.
  • B. Batasan Hall
    Batasan Hall is the main legislative building in the Philippines where the House of Representatives holds its sessions.
  • C. Skip Hall
    Skip Hall is an American politician who serves as the mayor of Surprise, Arizona.
  • D. Paul Hamlyn Hall
    Paul Hamlyn Hall is a glass-vaulted atrium and performance space at London’s Royal Opera House, known for its striking architecture and use as a venue for events, dining, and informal performances.
  • E. Cross Hall
    Cross Hall is a central ceremonial corridor on the State Floor of the White House that connects key rooms and serves as a prominent space for presidential processions and receptions.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe2aef481909944bc582c1f67a4 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0283101dc8190a52ef2edbb523e78 completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c033e0043881908c9fca5138398188 completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c034664c808190b382f7aad0e3149a completed March 22, 2026, 6:26 p.m.
Created at: March 22, 2026, 3:35 p.m.