Triple

T10220021
Position Surface form Disambiguated ID Type / Status
Subject Craig Sager E242549 entity
Predicate spouse P13 FINISHED
Object Lisa Gabel
Lisa Gabel is best known as the wife of the late American sports reporter and sideline broadcaster Craig Sager.
E854456 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: Lisa Gabel | Statement: [Craig Sager, spouse, Lisa Gabel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisa Gabel
Context triple: [Craig Sager, spouse, Lisa Gabel]
  • A. Gloria Rudisch
    Gloria Rudisch is an American pediatrician and public health official best known as the wife of artificial intelligence pioneer Marvin Minsky.
  • B. Lisa Loring
    Lisa Loring was an American actress best known for originating the role of Wednesday Addams as a child in the 1960s television adaptation of The Addams Family.
  • C. Lisa Blount
    Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
  • D. Laurie Durning
    Laurie Durning is an American filmmaker and costume designer best known for her long-term relationship and later marriage to Pink Floyd co-founder Roger Waters.
  • E. Lesley Ann Warren
    Lesley Ann Warren is an American actress and singer known for her work in film, television, and musical theater, including prominent roles in 1960s musicals and later acclaimed performances in movies and TV series.
  • 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: Lisa Gabel
Triple: [Craig Sager, spouse, Lisa Gabel]
Generated description
Lisa Gabel is best known as the wife of the late American sports reporter and sideline broadcaster Craig Sager.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lisa Gabel
Target entity description: Lisa Gabel is best known as the wife of the late American sports reporter and sideline broadcaster Craig Sager.
  • A. Gloria Rudisch
    Gloria Rudisch is an American pediatrician and public health official best known as the wife of artificial intelligence pioneer Marvin Minsky.
  • B. Lisa Loring
    Lisa Loring was an American actress best known for originating the role of Wednesday Addams as a child in the 1960s television adaptation of The Addams Family.
  • C. Lisa Blount
    Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
  • D. Laurie Durning
    Laurie Durning is an American filmmaker and costume designer best known for her long-term relationship and later marriage to Pink Floyd co-founder Roger Waters.
  • E. Lesley Ann Warren
    Lesley Ann Warren is an American actress and singer known for her work in film, television, and musical theater, including prominent roles in 1960s musicals and later acclaimed performances in movies and TV series.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa715a3c8190a9ccee7bcece0346 completed April 6, 2026, 12:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d71c8511008190a30008ed32a983d1 completed April 9, 2026, 3:27 a.m.
NEDg Description generation batch_69d71f76e3cc8190b21a5fe8825caa2b completed April 9, 2026, 3:39 a.m.
NED2 Entity disambiguation (via description) batch_69d7319938ec8190a4a1a5f09832e3e3 completed April 9, 2026, 4:56 a.m.
Created at: April 6, 2026, 11:08 a.m.