Triple

T6422137
Position Surface form Disambiguated ID Type / Status
Subject Christine Keeler E127967 entity
Predicate spouse P13 FINISHED
Object James Levermore
James Levermore is known primarily as the husband of Christine Keeler, the British model and showgirl central to the 1960s Profumo affair scandal.
 E593408 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: James Levermore | Statement: [Christine Keeler, spouse, James Levermore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: James Levermore
Context triple: [Christine Keeler, spouse, James Levermore]
  • A. Edward Leede
    Edward Leede was a notable Dartmouth College basketball player and benefactor after whom Dartmouth’s Leede Arena is named.
  • B. Bruce McCleery
    Bruce McCleery is a cinematographer known for his work on the film "Sabotage."
  • C. Charles Hart
    Charles Hart is a British lyricist best known for writing the lyrics to Andrew Lloyd Webber’s hit musical "The Phantom of the Opera."
  • D. John Lowin
    John Lowin was a prominent early 17th-century English actor associated with Shakespeare’s company, known for performing major roles in Jacobean and Caroline drama.
  • E. Mike Leander
    Mike Leander was a British arranger, songwriter, and record producer best known for his work with artists like Gary Glitter and for arranging the Beatles’ “She’s Leaving Home.”
  • 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: James Levermore
Triple: [Christine Keeler, spouse, James Levermore]
Generated description
James Levermore is known primarily as the husband of Christine Keeler, the British model and showgirl central to the 1960s Profumo affair scandal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: James Levermore
Target entity description: James Levermore is known primarily as the husband of Christine Keeler, the British model and showgirl central to the 1960s Profumo affair scandal.
  • A. Edward Leede
    Edward Leede was a notable Dartmouth College basketball player and benefactor after whom Dartmouth’s Leede Arena is named.
  • B. Bruce McCleery
    Bruce McCleery is a cinematographer known for his work on the film "Sabotage."
  • C. Charles Hart
    Charles Hart is a British lyricist best known for writing the lyrics to Andrew Lloyd Webber’s hit musical "The Phantom of the Opera."
  • D. John Lowin
    John Lowin was a prominent early 17th-century English actor associated with Shakespeare’s company, known for performing major roles in Jacobean and Caroline drama.
  • E. Mike Leander
    Mike Leander was a British arranger, songwriter, and record producer best known for his work with artists like Gary Glitter and for arranging the Beatles’ “She’s Leaving Home.”
  • 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06903f67c8190a1e5babeede4e183 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bb9f03c8190a9e8e796dbb9330c completed March 27, 2026, 9:19 a.m.
NEDg Description generation batch_69c64c9c1c4081909c2ccea8eb6b91d8 completed March 27, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_69c64d2bffcc819099aff0664e8264fe completed March 27, 2026, 9:26 a.m.
Created at: March 22, 2026, 4:43 p.m.