Triple

T17916090
Position Surface form Disambiguated ID Type / Status
Subject Heather Tom E447929 entity
Predicate sibling P363 FINISHED
Object David Tom
David Tom is an American actor best known for his roles on daytime soap operas such as "The Young and the Restless."
E1296289 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: David Tom | Statement: [Heather Tom, sibling, David Tom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Tom
Context triple: [Heather Tom, sibling, David Tom]
  • A. David Thomas
    David Thomas is a software developer and author best known for co-writing the influential programming book "The Pragmatic Programmer."
  • B. David Jeffrey
    David Jeffrey is a highly successful Northern Irish football manager and former player, best known for his trophy-laden spell in charge of Linfield FC.
  • C. Jeffrey Dean
    Jeffrey Dean is a prominent American computer scientist and software engineer best known for his influential work on large-scale distributed systems and infrastructure at Google.
  • D. Richard H. Thomas
    Richard H. Thomas was an American background artist and layout designer best known for his work on classic Warner Bros. animated cartoons.
  • E. Jack Pulman
    Jack Pulman was a British screenwriter best known for his acclaimed television adaptations of literary works, particularly historical dramas.
  • 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: David Tom
Triple: [Heather Tom, sibling, David Tom]
Generated description
David Tom is an American actor best known for his roles on daytime soap operas such as "The Young and the Restless."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Tom
Target entity description: David Tom is an American actor best known for his roles on daytime soap operas such as "The Young and the Restless."
  • A. David Thomas
    David Thomas is a software developer and author best known for co-writing the influential programming book "The Pragmatic Programmer."
  • B. David Jeffrey
    David Jeffrey is a highly successful Northern Irish football manager and former player, best known for his trophy-laden spell in charge of Linfield FC.
  • C. Jeffrey Dean
    Jeffrey Dean is a prominent American computer scientist and software engineer best known for his influential work on large-scale distributed systems and infrastructure at Google.
  • D. Richard H. Thomas
    Richard H. Thomas was an American background artist and layout designer best known for his work on classic Warner Bros. animated cartoons.
  • E. Jack Pulman
    Jack Pulman was a British screenwriter best known for his acclaimed television adaptations of literary works, particularly historical dramas.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a3062bfc819083f7c0521bad4db8 completed April 19, 2026, 9:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03212c9e88819099fb04040e543d63 completed May 12, 2026, 12:46 p.m.
NEDg Description generation batch_6a0321e2ce7c81909f24975b71f73621 completed May 12, 2026, 12:49 p.m.
NED2 Entity disambiguation (via description) batch_6a032255c76c81909ab534ae3e8adddc completed May 12, 2026, 12:51 p.m.
Created at: April 10, 2026, 10:20 a.m.