Triple

T10344613
Position Surface form Disambiguated ID Type / Status
Subject Ed Asner E243711 entity
Predicate spouse P13 FINISHED
Object Nancy Sykes
Nancy Sykes is best known as the former wife of acclaimed American actor Ed Asner.
E858430 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: Nancy Sykes | Statement: [Ed Asner, spouse, Nancy Sykes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nancy Sykes
Context triple: [Ed Asner, spouse, Nancy Sykes]
  • A. Nancy Travis
    Nancy Travis is an American actress known for her work in film and television, including prominent roles in series like "The Kominsky Method" and "Last Man Standing."
  • B. Lisa Ann Yoakum
    Lisa Ann Yoakum is known as the former spouse of Ronnie Vannucci Jr., the drummer of the rock band The Killers.
  • C. Nancy Mack
    Nancy Mack is an American entrepreneur best known as a co-founder of the specialty tea retailer Teavana.
  • D. Heather Claycomb
    Heather Claycomb is a businesswoman known for her past ownership stake in the Arena Football League team, the Philadelphia Soul.
  • E. Stacy Tucker
    Stacy Tucker is the mother of Jake Tucker, a minor character associated with the animated television series "Family Guy."
  • 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: Nancy Sykes
Triple: [Ed Asner, spouse, Nancy Sykes]
Generated description
Nancy Sykes is best known as the former wife of acclaimed American actor Ed Asner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nancy Sykes
Target entity description: Nancy Sykes is best known as the former wife of acclaimed American actor Ed Asner.
  • A. Nancy Travis
    Nancy Travis is an American actress known for her work in film and television, including prominent roles in series like "The Kominsky Method" and "Last Man Standing."
  • B. Lisa Ann Yoakum
    Lisa Ann Yoakum is known as the former spouse of Ronnie Vannucci Jr., the drummer of the rock band The Killers.
  • C. Nancy Mack
    Nancy Mack is an American entrepreneur best known as a co-founder of the specialty tea retailer Teavana.
  • D. Heather Claycomb
    Heather Claycomb is a businesswoman known for her past ownership stake in the Arena Football League team, the Philadelphia Soul.
  • E. Stacy Tucker
    Stacy Tucker is the mother of Jake Tucker, a minor character associated with the animated television series "Family Guy."
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9228cd88190bcd94b85537233c1 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75077dfbc81908de29aac1a3bb19f completed April 9, 2026, 7:08 a.m.
NEDg Description generation batch_69d7618c9abc819080c4d6669dfb8320 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d7702ae24481908b0f5319413e81d4 completed April 9, 2026, 9:23 a.m.
Created at: April 6, 2026, 11:55 a.m.