Triple

T11835171
Position Surface form Disambiguated ID Type / Status
Subject Bury North E281496 entity
Predicate hasMP P14470 FINISHED
Object James Daly
James Daly is a British Conservative Party politician who serves as the Member of Parliament for the Bury North constituency.
 E951421 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: James Daly | Statement: [Bury North, hasMP, James Daly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: James Daly
Context triple: [Bury North, hasMP, James Daly]
  • A. James Daly
    James Daly was an American actor known for his work in television and film during the mid-20th century, including roles on series like "Medical Center."
  • B. Andrew Daly
    Andrew Daly is an American actor and comedian known for his work in television, film, and voice acting, including roles on shows like "Review" and "Eastbound & Down."
  • C. Daniel Dillon
    Daniel Dillon is a central character in Thomas Hardy’s novel "The Mayor of Casterbridge," known for his complex moral struggles and tragic personal downfall.
  • D. Jack Doolan
    Jack Doolan is a British actor best known for his role in the coming-of-age comedy-drama film "Cemetery Junction" and various appearances in UK television series.
  • E. Luke Doolan
    Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
  • 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: James Daly
Triple: [Bury North, hasMP, James Daly]
Generated description
James Daly is a British Conservative Party politician who serves as the Member of Parliament for the Bury North constituency.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: James Daly
Target entity description: James Daly is a British Conservative Party politician who serves as the Member of Parliament for the Bury North constituency.
  • A. James Daly
    James Daly was an American actor known for his work in television and film during the mid-20th century, including roles on series like "Medical Center."
  • B. Andrew Daly
    Andrew Daly is an American actor and comedian known for his work in television, film, and voice acting, including roles on shows like "Review" and "Eastbound & Down."
  • C. Daniel Dillon
    Daniel Dillon is a central character in Thomas Hardy’s novel "The Mayor of Casterbridge," known for his complex moral struggles and tragic personal downfall.
  • D. Jack Doolan
    Jack Doolan is a British actor best known for his role in the coming-of-age comedy-drama film "Cemetery Junction" and various appearances in UK television series.
  • E. Luke Doolan
    Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62e7e408190998bebe346c82e89 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f28131f75c8190b379e65d5a258e7b completed April 29, 2026, 10:07 p.m.
NEDg Description generation batch_69f28a8e64ac8190ba7637fd00e024bd completed April 29, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69f28d4e341c8190abc8febc3b26a617 completed April 29, 2026, 10:59 p.m.
Created at: April 8, 2026, 9:43 p.m.