Triple

T3892716
Position Surface form Disambiguated ID Type / Status
Subject John Barrowman E88095 entity
Predicate spouse P13 FINISHED
Object Scott Gill
Scott Gill is a British architect and the long-term partner and husband of actor and singer John Barrowman.
 E422753 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: Scott Gill | Statement: [John Barrowman, spouse, Scott Gill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Scott Gill
Context triple: [John Barrowman, spouse, Scott Gill]
  • A. Chris Gill
    Chris Gill is a British film editor best known for his work on the acclaimed horror film "28 Days Later" and other notable UK productions.
  • B. Scott Paulin
    Scott Paulin is an American character actor and director known for his numerous film and television roles since the late 1970s.
  • C. Scott McPherson
    Scott McPherson was an American playwright and screenwriter best known for his acclaimed stage play "Marvin's Room," which was later adapted into a feature film.
  • D. David Gill
    David Gill was a British television producer and film historian best known for his acclaimed documentaries on cinema history, including collaborations with Kevin Brownlow.
  • E. Scott Kevan
    Scott Kevan is a cinematographer known for his work on feature films, including the science fiction horror movie "The Darkest Hour."
  • 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: Scott Gill
Triple: [John Barrowman, spouse, Scott Gill]
Generated description
Scott Gill is a British architect and the long-term partner and husband of actor and singer John Barrowman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Scott Gill
Target entity description: Scott Gill is a British architect and the long-term partner and husband of actor and singer John Barrowman.
  • A. Chris Gill
    Chris Gill is a British film editor best known for his work on the acclaimed horror film "28 Days Later" and other notable UK productions.
  • B. Scott Paulin
    Scott Paulin is an American character actor and director known for his numerous film and television roles since the late 1970s.
  • C. Scott McPherson
    Scott McPherson was an American playwright and screenwriter best known for his acclaimed stage play "Marvin's Room," which was later adapted into a feature film.
  • D. David Gill
    David Gill was a British television producer and film historian best known for his acclaimed documentaries on cinema history, including collaborations with Kevin Brownlow.
  • E. Scott Kevan
    Scott Kevan is a cinematographer known for his work on feature films, including the science fiction horror movie "The Darkest Hour."
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecce860c8190b16eca2e14f6544f completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b595eea03c8190a76a4e09a6d03919 completed March 14, 2026, 5:07 p.m.
NEDg Description generation batch_69b599c94ce48190a77065377e7c09f3 completed March 14, 2026, 5:24 p.m.
NED2 Entity disambiguation (via description) batch_69b59a2683488190954d95bc2f2bf456 completed March 14, 2026, 5:25 p.m.
Created at: March 9, 2026, 3:21 p.m.