Triple

T20338493
Position Surface form Disambiguated ID Type / Status
Subject Thirteen Days E495678 entity
Predicate producer P490 FINISHED
Object Peter Almond
Peter Almond is a film producer best known for his work on the political thriller "Thirteen Days."
 E1424458 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: Peter Almond | Statement: [Thirteen Days, producer, Peter Almond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Almond
Context triple: [Thirteen Days, producer, Peter Almond]
  • A. Gabriel Almond
    Gabriel Almond was an influential American political scientist known for his work on comparative politics and political culture.
  • B. Paul Givan
    Paul Givan is a Democratic Unionist Party politician who served as First Minister of Northern Ireland.
  • C. Edward Greaves
    Edward Greaves was a British shipbuilder known for constructing Royal Navy warships such as HMS Bellerophon in the 19th century.
  • D. John Smethwick
    John Smethwick was a 17th-century London stationer and publisher known for co-publishing significant early modern English literary works, including some associated with Shakespeare.
  • E. Ronald Oxburgh
    Ronald Oxburgh is a British geologist and crossbench life peer known for his contributions to earth sciences and his leadership roles in academia, government, and the energy sector.
  • 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: Peter Almond
Triple: [Thirteen Days, producer, Peter Almond]
Generated description
Peter Almond is a film producer best known for his work on the political thriller "Thirteen Days."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Almond
Target entity description: Peter Almond is a film producer best known for his work on the political thriller "Thirteen Days."
  • A. Gabriel Almond
    Gabriel Almond was an influential American political scientist known for his work on comparative politics and political culture.
  • B. Paul Givan
    Paul Givan is a Democratic Unionist Party politician who served as First Minister of Northern Ireland.
  • C. Edward Greaves
    Edward Greaves was a British shipbuilder known for constructing Royal Navy warships such as HMS Bellerophon in the 19th century.
  • D. John Smethwick
    John Smethwick was a 17th-century London stationer and publisher known for co-publishing significant early modern English literary works, including some associated with Shakespeare.
  • E. Ronald Oxburgh
    Ronald Oxburgh is a British geologist and crossbench life peer known for his contributions to earth sciences and his leadership roles in academia, government, and the energy sector.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678332bd08190a83880fb6aa32e08 completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08695a90fc81908ab2c0e24a96de07 completed May 16, 2026, 12:55 p.m.
NEDg Description generation batch_6a0869a83ac48190ae1137700c78cfc1 completed May 16, 2026, 12:57 p.m.
NED2 Entity disambiguation (via description) batch_6a086a0aaee08190a0bce73f017fe491 completed May 16, 2026, 12:58 p.m.
Created at: April 16, 2026, 11:23 a.m.