Triple

T8628132
Position Surface form Disambiguated ID Type / Status
Subject Brett Cullen E204329 entity
Predicate spouse P13 FINISHED
Object Michele Little
Michele Little is an American former film and television actress known for her work in the 1980s and early 1990s.
 E747064 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: Michele Little | Statement: [Brett Cullen, spouse, Michele Little]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michele Little
Context triple: [Brett Cullen, spouse, Michele Little]
  • A. Michele Bullock
    Michele Bullock is an Australian economist and central banker who serves as the Governor of the Reserve Bank of Australia, overseeing the country’s monetary policy.
  • B. Michele Lamar Richards
    Michele Lamar Richards is an American actress best known for her supporting role in the 1992 romantic thriller film "The Bodyguard."
  • C. Kevin Liles
    Kevin Liles is an American music executive and entrepreneur best known for his leadership roles at Def Jam Recordings and later at Warner Music Group.
  • D. Najee Smith
    Najee Smith is one of the children of American rapper and actor LL Cool J.
  • E. Danny McKnight
    Danny McKnight is a U.S. Army Ranger officer known for his leadership during the 1993 Battle of Mogadishu, later depicted in the film "Black Hawk Down."
  • 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: Michele Little
Triple: [Brett Cullen, spouse, Michele Little]
Generated description
Michele Little is an American former film and television actress known for her work in the 1980s and early 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michele Little
Target entity description: Michele Little is an American former film and television actress known for her work in the 1980s and early 1990s.
  • A. Michele Bullock
    Michele Bullock is an Australian economist and central banker who serves as the Governor of the Reserve Bank of Australia, overseeing the country’s monetary policy.
  • B. Michele Lamar Richards
    Michele Lamar Richards is an American actress best known for her supporting role in the 1992 romantic thriller film "The Bodyguard."
  • C. Kevin Liles
    Kevin Liles is an American music executive and entrepreneur best known for his leadership roles at Def Jam Recordings and later at Warner Music Group.
  • D. Najee Smith
    Najee Smith is one of the children of American rapper and actor LL Cool J.
  • E. Danny McKnight
    Danny McKnight is a U.S. Army Ranger officer known for his leadership during the 1993 Battle of Mogadishu, later depicted in the film "Black Hawk Down."
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc472ccc0c81908e0708c94a7cbe65 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbf918f08190a9b0469eae8e0e0d completed April 2, 2026, 6:56 p.m.
NEDg Description generation batch_69cebd805a9881909017933409a39e1c completed April 2, 2026, 7:03 p.m.
NED2 Entity disambiguation (via description) batch_69cebe3f29cc8190b22c30143e7c81bf completed April 2, 2026, 7:06 p.m.
Created at: March 30, 2026, 6:27 p.m.