Triple

T14290699
Position Surface form Disambiguated ID Type / Status
Subject The Burning E354301 entity
Predicate screenwriter P2831 FINISHED
Object Peter Lawrence
Peter Lawrence is a screenwriter best known for his work on the horror film "The Burning."
 E1092278 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 Lawrence | Statement: [The Burning, screenwriter, Peter Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Lawrence
Context triple: [The Burning, screenwriter, Peter Lawrence]
  • A. Peter Lawrence
    Peter Lawrence is a distinguished British developmental biologist renowned for his pioneering work on the genetic control of pattern formation in animals.
  • B. Lawrence Bradshaw
    Lawrence Bradshaw was a British sculptor and architect best known for designing and sculpting the Karl Marx Memorial in Highgate Cemetery, London.
  • C. Philip Lawrence
    Philip Lawrence is an American songwriter and producer best known for his extensive collaborations with Bruno Mars on numerous hit songs.
  • D. Brian Laws
    Brian Laws is an English former footballer and manager best known for his successful and lengthy spell in charge of Scunthorpe United.
  • E. Peter Milne
    Peter Milne was a screenwriter known for his work on classic Hollywood films, including the legal drama "The Verdict."
  • 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 Lawrence
Triple: [The Burning, screenwriter, Peter Lawrence]
Generated description
Peter Lawrence is a screenwriter best known for his work on the horror film "The Burning."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Lawrence
Target entity description: Peter Lawrence is a screenwriter best known for his work on the horror film "The Burning."
  • A. Peter Lawrence
    Peter Lawrence is a distinguished British developmental biologist renowned for his pioneering work on the genetic control of pattern formation in animals.
  • B. Lawrence Bradshaw
    Lawrence Bradshaw was a British sculptor and architect best known for designing and sculpting the Karl Marx Memorial in Highgate Cemetery, London.
  • C. Philip Lawrence
    Philip Lawrence is an American songwriter and producer best known for his extensive collaborations with Bruno Mars on numerous hit songs.
  • D. Brian Laws
    Brian Laws is an English former footballer and manager best known for his successful and lengthy spell in charge of Scunthorpe United.
  • E. Peter Milne
    Peter Milne was a screenwriter known for his work on classic Hollywood films, including the legal drama "The Verdict."
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6981e9148190baf2ed56a7b7340e completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1fee448190bcafb37dd6618d60 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3e5f333c8190bdce30a813bea59e completed May 8, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69fd3ed1fe288190b83dc432b61f0b4f completed May 8, 2026, 1:39 a.m.
Created at: April 10, 2026, 1:11 a.m.