Triple

T8817982
Position Surface form Disambiguated ID Type / Status
Subject Willett E209828 entity
Predicate hasNotableBearer P458 FINISHED
Object Tom Willett
Tom Willett is an English actor and YouTube personality known for his humorous and often eccentric online videos.
E758457 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: Tom Willett | Statement: [Willett, hasNotableBearer, Tom Willett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Willett
Context triple: [Willett, hasNotableBearer, Tom Willett]
  • A. John Morris
    John Morris is an American voice actor best known for voicing Andy Davis in the Toy Story film series.
  • B. John Morris
    John Morris is a film producer best known for his work on mainstream Hollywood comedies, including the family sequel "Daddy's Home 2."
  • C. John Morris
    John Morris was an American film and television composer best known for his frequent collaborations with director Mel Brooks, including the score for "Young Frankenstein."
  • D. John Morris
    John Morris is a whip-wielding vampire hunter and descendant of the Belmont clan who serves as one of the main protagonists in the action-platformer game Castlevania: Bloodlines.
  • E. Michael Spiller
    Michael Spiller is an American cinematographer and television director known for his work on numerous acclaimed TV comedies and films.
  • 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: Tom Willett
Triple: [Willett, hasNotableBearer, Tom Willett]
Generated description
Tom Willett is an English actor and YouTube personality known for his humorous and often eccentric online videos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tom Willett
Target entity description: Tom Willett is an English actor and YouTube personality known for his humorous and often eccentric online videos.
  • A. John Morris
    John Morris is an American voice actor best known for voicing Andy Davis in the Toy Story film series.
  • B. John Morris
    John Morris is a film producer best known for his work on mainstream Hollywood comedies, including the family sequel "Daddy's Home 2."
  • C. John Morris
    John Morris was an American film and television composer best known for his frequent collaborations with director Mel Brooks, including the score for "Young Frankenstein."
  • D. John Morris
    John Morris is a whip-wielding vampire hunter and descendant of the Belmont clan who serves as one of the main protagonists in the action-platformer game Castlevania: Bloodlines.
  • E. Michael Spiller
    Michael Spiller is an American cinematographer and television director known for his work on numerous acclaimed TV comedies and films.
  • 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc600d267c81909e145e58af08e523 completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf6fc1579c8190ade0f780183aa1dc completed April 3, 2026, 7:44 a.m.
NEDg Description generation batch_69cf71aaa4b881908440302910c29248 completed April 3, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_69cf7288d7748190999aa63bf8faf69f completed April 3, 2026, 7:55 a.m.
Created at: March 30, 2026, 6:46 p.m.