Triple

T11426667
Position Surface form Disambiguated ID Type / Status
Subject Nicol Williamson E270768 entity
Predicate spouse P13 FINISHED
Object Jill Townsend
Jill Townsend is an American former actress and journalist known for her work in film and television during the 1970s.
 E924806 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: Jill Townsend | Statement: [Nicol Williamson, spouse, Jill Townsend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jill Townsend
Context triple: [Nicol Williamson, spouse, Jill Townsend]
  • A. Lisa Townsend
    Lisa Townsend is the elected Police and Crime Commissioner responsible for overseeing policing strategy and accountability in Surrey, England.
  • B. Jill Bennett
    Jill Bennett was a British actress known for her stage and screen work, particularly in mid-20th-century British theatre and film.
  • C. Jill Bilcock
    Jill Bilcock is an acclaimed Australian film editor known for her work on major films such as "Moulin Rouge!", "Romeo + Juliet," and "Elizabeth."
  • D. Jill Talley
    Jill Talley is an American actress and voice actress best known for her work on animated television series such as SpongeBob SquarePants and various Adult Swim and comedy projects.
  • E. Jill Knox
    Jill Knox is an artist and the wife of American actor and director Keith Powell.
  • 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: Jill Townsend
Triple: [Nicol Williamson, spouse, Jill Townsend]
Generated description
Jill Townsend is an American former actress and journalist known for her work in film and television during the 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jill Townsend
Target entity description: Jill Townsend is an American former actress and journalist known for her work in film and television during the 1970s.
  • A. Lisa Townsend
    Lisa Townsend is the elected Police and Crime Commissioner responsible for overseeing policing strategy and accountability in Surrey, England.
  • B. Jill Bennett
    Jill Bennett was a British actress known for her stage and screen work, particularly in mid-20th-century British theatre and film.
  • C. Jill Bilcock
    Jill Bilcock is an acclaimed Australian film editor known for her work on major films such as "Moulin Rouge!", "Romeo + Juliet," and "Elizabeth."
  • D. Jill Talley
    Jill Talley is an American actress and voice actress best known for her work on animated television series such as SpongeBob SquarePants and various Adult Swim and comedy projects.
  • E. Jill Knox
    Jill Knox is an artist and the wife of American actor and director Keith Powell.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c000b88190bfaa646b2dc424b7 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8c8e1988190aba5a2536dbb37cf completed April 20, 2026, 5:25 a.m.
NEDg Description generation batch_69e5c28e2dd481909b45a43b5825f393 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c4722c348190a4c49edb1f6df240 completed April 20, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:35 p.m.