Triple

T13049651
Position Surface form Disambiguated ID Type / Status
Subject Peter MacDonald E327416 entity
Predicate workedOn P3 FINISHED
Object Legend
Legend is a film project associated with the work of filmmaker Peter MacDonald.
E198720 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: Legend | Statement: [Peter MacDonald, workedOn, Legend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Legend
Context triple: [Peter MacDonald, workedOn, Legend]
  • A. Legend
    Legend is the eighth studio album by American singer John Legend, showcasing his blend of R&B, soul, and pop influences.
  • B. Legend
    Legend is a performer known for their role in the work "Nervous."
  • C. Legend
    Legend is the highest honor bestowed in the Australian Football Hall of Fame, reserved for players and figures of exceptional and enduring significance to the sport.
  • D. Legend
    Legend was the original brand name of the Chinese technology company now known globally as Lenovo.
  • E. Legend
    Legend is a greatest hits compilation album by Bob Marley and the Wailers that has become one of the best-selling and most influential reggae records of all time.
  • 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: Legend
Triple: [Peter MacDonald, workedOn, Legend]
Generated description
Legend is a film project associated with the work of filmmaker Peter MacDonald.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Legend
Target entity description: Legend is a film project associated with the work of filmmaker Peter MacDonald.
  • A. Legend chosen
    Legend is a 1985 dark fantasy film directed by Ridley Scott, known for its lush visual style, fairy-tale atmosphere, and Tim Curry’s iconic portrayal of the Lord of Darkness.
  • B. Legend
    Legend is a dramatic film in which Colin Morgan appears, known for its portrayal of the notorious Kray twins in 1960s London.
  • C. Legend
    Legend is a performer known for their role in the work "Nervous."
  • D. Legend
    "Legend" is a song produced by Grammy-winning producer Dre Moon, showcasing his atmospheric, melodic hip-hop style.
  • E. Legend
    Legend is the eighth studio album by American singer John Legend, showcasing his blend of R&B, soul, and pop influences.
  • F. None of above.

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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b8811c81908577f092e2736610 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbda9b548190a10a4835b2c75fdc completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd0e88e08190a07468336bb624f0 completed May 3, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce23ca208190960409130c4c52a9 completed May 3, 2026, 4:25 a.m.
Created at: April 9, 2026, 8:57 p.m.