Triple

T6608580
Position Surface form Disambiguated ID Type / Status
Subject Football Focus E149179 entity
Predicate originalPresenter P11499 FINISHED
Object Sam Leitch
Sam Leitch was a British sports broadcaster best known for his influential work presenting football coverage on BBC television.
E611361 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: Sam Leitch | Statement: [Football Focus, originalPresenter, Sam Leitch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Leitch
Context triple: [Football Focus, originalPresenter, Sam Leitch]
  • A. William Robbie
    William Robbie is a notable former pupil of Aberdeen Grammar School, recognized for his achievements after attending the historic Scottish secondary school.
  • B. Christopher Barclay
    Christopher Barclay is the husband of acclaimed American television and film director Paris Barclay.
  • C. Roy Foltrigg
    Roy Foltrigg is a hard-driving, politically ambitious U.S. Attorney who serves as the chief legal antagonist in the legal thriller film "The Client."
  • D. Richard Talbot
    Richard Talbot was a 17th-century Irish soldier and statesman who became a leading Jacobite figure and Lord Deputy of Ireland under King James II.
  • E. Edward Platt
    Edward Platt was an American character actor best known for playing the Chief in the television series "Get Smart" and for roles in several classic mid-20th-century 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: Sam Leitch
Triple: [Football Focus, originalPresenter, Sam Leitch]
Generated description
Sam Leitch was a British sports broadcaster best known for his influential work presenting football coverage on BBC television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sam Leitch
Target entity description: Sam Leitch was a British sports broadcaster best known for his influential work presenting football coverage on BBC television.
  • A. William Robbie
    William Robbie is a notable former pupil of Aberdeen Grammar School, recognized for his achievements after attending the historic Scottish secondary school.
  • B. Christopher Barclay
    Christopher Barclay is the husband of acclaimed American television and film director Paris Barclay.
  • C. Roy Foltrigg
    Roy Foltrigg is a hard-driving, politically ambitious U.S. Attorney who serves as the chief legal antagonist in the legal thriller film "The Client."
  • D. Richard Talbot
    Richard Talbot was a 17th-century Irish soldier and statesman who became a leading Jacobite figure and Lord Deputy of Ireland under King James II.
  • E. Edward Platt
    Edward Platt was an American character actor best known for playing the Chief in the television series "Get Smart" and for roles in several classic mid-20th-century 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af31c4748190ab5027771c9ce5b2 completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f78d41fc8190b883b83b267ec829 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f8453af88190b237c249bfbb4f8c completed March 27, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69c6f8d5630c8190913e8572a70b82c1 completed March 27, 2026, 9:38 p.m.
Created at: March 27, 2026, 1:57 p.m.