Triple

T7130114
Position Surface form Disambiguated ID Type / Status
Subject Peter Scolari E166164 entity
Predicate spouse P13 FINISHED
Object Cathy Trien
Cathy Trien is an American actress known for her work in film, television, and theater, and for her former marriage to actor Peter Scolari.
E643280 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: Cathy Trien | Statement: [Peter Scolari, spouse, Cathy Trien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cathy Trien
Context triple: [Peter Scolari, spouse, Cathy Trien]
  • A. Cathy Meils
    Cathy Meils is a film editor known for her work on the horror sequel "Scream 4."
  • B. Cathy Shumway
    Cathy Shumway is a character from the satirical 1970s television soap opera "Mary Hartman, Mary Hartman."
  • C. Cathy Engelbert
    Cathy Engelbert is an American business executive who became the first commissioner of the WNBA after previously serving as CEO of Deloitte.
  • D. Catherine Pien
    Catherine Pien was the wife of French admiral François Joseph Paul de Grasse, a key naval commander in the American Revolutionary War.
  • E. Cathy Konrad
    Cathy Konrad is an American film and television producer known for her work on acclaimed projects such as "Walk the Line," "Girl, Interrupted," and the TV series "Scream."
  • 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: Cathy Trien
Triple: [Peter Scolari, spouse, Cathy Trien]
Generated description
Cathy Trien is an American actress known for her work in film, television, and theater, and for her former marriage to actor Peter Scolari.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cathy Trien
Target entity description: Cathy Trien is an American actress known for her work in film, television, and theater, and for her former marriage to actor Peter Scolari.
  • A. Cathy Meils
    Cathy Meils is a film editor known for her work on the horror sequel "Scream 4."
  • B. Cathy Shumway
    Cathy Shumway is a character from the satirical 1970s television soap opera "Mary Hartman, Mary Hartman."
  • C. Cathy Engelbert
    Cathy Engelbert is an American business executive who became the first commissioner of the WNBA after previously serving as CEO of Deloitte.
  • D. Catherine Pien
    Catherine Pien was the wife of French admiral François Joseph Paul de Grasse, a key naval commander in the American Revolutionary War.
  • E. Cathy Konrad
    Cathy Konrad is an American film and television producer known for her work on acclaimed projects such as "Walk the Line," "Girl, Interrupted," and the TV series "Scream."
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66dc2388190bdec018f1cc6b20a completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a33eea0481909f87e0813bc35b52 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a3f2b51c81909f058149e9bd9f0a completed March 28, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_69c7a4a9e91881909df07f1c540f191e completed March 28, 2026, 9:51 a.m.
Created at: March 27, 2026, 2:44 p.m.