Triple

T9885011
Position Surface form Disambiguated ID Type / Status
Subject Steve Kerr E180907 entity
Predicate spouse P13 FINISHED
Object Margot Kerr
Margot Kerr is the wife of NBA coach and former player Steve Kerr, known primarily for her long-standing, private support of his basketball career.
E827715 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: Margot Kerr | Statement: [Steve Kerr, spouse, Margot Kerr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margot Kerr
Context triple: [Steve Kerr, spouse, Margot Kerr]
  • A. Victoria Tennant
    Victoria Tennant is a British actress known for her work in film and television, including roles in "L.A. Story" and the miniseries "The Winds of War."
  • B. Tessa Menzies
    Tessa Menzies is a child of California politician and governor Gavin Newsom.
  • C. Isabella Colbran
    Isabella Colbran was a celebrated Spanish opera singer of the early 19th century, renowned as a leading dramatic soprano and muse for many of Gioachino Rossini’s operatic roles.
  • D. Juliet Rix
    Juliet Rix is an artist known for illustrating book covers, including fantasy novels such as "The Emerald Atlas."
  • E. Kathryn Erbe
    Kathryn Erbe is an American actress best known for her role as Detective Alexandra Eames on the television series "Law & Order: Criminal Intent."
  • 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: Margot Kerr
Triple: [Steve Kerr, spouse, Margot Kerr]
Generated description
Margot Kerr is the wife of NBA coach and former player Steve Kerr, known primarily for her long-standing, private support of his basketball career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Margot Kerr
Target entity description: Margot Kerr is the wife of NBA coach and former player Steve Kerr, known primarily for her long-standing, private support of his basketball career.
  • A. Victoria Tennant
    Victoria Tennant is a British actress known for her work in film and television, including roles in "L.A. Story" and the miniseries "The Winds of War."
  • B. Tessa Menzies
    Tessa Menzies is a child of California politician and governor Gavin Newsom.
  • C. Isabella Colbran
    Isabella Colbran was a celebrated Spanish opera singer of the early 19th century, renowned as a leading dramatic soprano and muse for many of Gioachino Rossini’s operatic roles.
  • D. Juliet Rix
    Juliet Rix is an artist known for illustrating book covers, including fantasy novels such as "The Emerald Atlas."
  • E. Kathryn Erbe
    Kathryn Erbe is an American actress best known for her role as Detective Alexandra Eames on the television series "Law & Order: Criminal Intent."
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb45549488190833200977d558e47 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eaf6a5848190ad031bdb195cd4ce completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1ed1b40ec81909360de54225e8994 completed April 5, 2026, 5:03 a.m.
NED2 Entity disambiguation (via description) batch_69d1ed7bf8a08190b50a1a31875e5591 completed April 5, 2026, 5:05 a.m.
Created at: March 30, 2026, 8:38 p.m.