Triple

T864416
Position Surface form Disambiguated ID Type / Status
Subject Fleming E18669 entity
Predicate hasNotableBearer P458 FINISHED
Object Tom Fleming
Tom Fleming is a name shared by several notable individuals, including an American long-distance runner and a Scottish actor and comedian.
E110235 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 Fleming | Statement: [Fleming, hasNotableBearer, Tom Fleming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Fleming
Context triple: [Fleming, hasNotableBearer, Tom Fleming]
  • A. William Nolan
    William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
  • B. Andrew Fleming
    Andrew Fleming is an American film and television director, screenwriter, and producer known for works such as "The Craft," "Dick," and episodes of "Arrested Development."
  • C. Jim Holland
    Jim Holland is the husband of Zimbabwean politician and human rights activist Sekai Holland.
  • D. John Grandy
    John Grandy was a senior Royal Air Force officer who rose to become a leading commander of British fighter forces during and after the Second World War.
  • E. Michael Rogers
    Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
  • 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 Fleming
Triple: [Fleming, hasNotableBearer, Tom Fleming]
Generated description
Tom Fleming is a name shared by several notable individuals, including an American long-distance runner and a Scottish actor and comedian.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tom Fleming
Target entity description: Tom Fleming is a name shared by several notable individuals, including an American long-distance runner and a Scottish actor and comedian.
  • A. William Nolan
    William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
  • B. Andrew Fleming
    Andrew Fleming is an American film and television director, screenwriter, and producer known for works such as "The Craft," "Dick," and episodes of "Arrested Development."
  • C. Jim Holland
    Jim Holland is the husband of Zimbabwean politician and human rights activist Sekai Holland.
  • D. John Grandy
    John Grandy was a senior Royal Air Force officer who rose to become a leading commander of British fighter forces during and after the Second World War.
  • E. Michael Rogers
    Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac6956488190a5644cdd5b55684f completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7edfe79bc8190bcfb89f4bbc1feb4 completed March 4, 2026, 8:31 a.m.
NEDg Description generation batch_69a80a93f1f081909ca6a76346fd607e completed March 4, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_69a80aecb32c81908456b38f0d4603ef completed March 4, 2026, 10:35 a.m.
Created at: March 1, 2026, 7:39 p.m.