Triple

T20841612
Position Surface form Disambiguated ID Type / Status
Subject The Pirate Movie E513115 entity
Predicate producer P490 FINISHED
Object David Joseph
David Joseph is a film producer best known for his work on the 1982 musical romantic comedy "The Pirate Movie."
E1454131 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: David Joseph | Statement: [The Pirate Movie, producer, David Joseph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Joseph
Context triple: [The Pirate Movie, producer, David Joseph]
  • A. Davis Joseph
    Davis Joseph is an individual notable enough to be recorded as a bearer of the given name "Davis," though specific public details about his life or achievements are not widely documented.
  • B. David Frank
    David Frank is a music producer best known for his work on Christina Aguilera’s hit single "Genie in a Bottle."
  • C. David Nathan
    David Nathan was a prominent 19th-century Auckland merchant and community leader regarded as one of New Zealand’s pioneering Jewish settlers.
  • D. David Michael Frank
    David Michael Frank is an American composer best known for his work on film and television scores.
  • E. David Jeffrey
    David Jeffrey is a highly successful Northern Irish football manager and former player, best known for his trophy-laden spell in charge of Linfield FC.
  • 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: David Joseph
Triple: [The Pirate Movie, producer, David Joseph]
Generated description
David Joseph is a film producer best known for his work on the 1982 musical romantic comedy "The Pirate Movie."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Joseph
Target entity description: David Joseph is a film producer best known for his work on the 1982 musical romantic comedy "The Pirate Movie."
  • A. Davis Joseph
    Davis Joseph is an individual notable enough to be recorded as a bearer of the given name "Davis," though specific public details about his life or achievements are not widely documented.
  • B. David Frank
    David Frank is a music producer best known for his work on Christina Aguilera’s hit single "Genie in a Bottle."
  • C. David Nathan
    David Nathan was a prominent 19th-century Auckland merchant and community leader regarded as one of New Zealand’s pioneering Jewish settlers.
  • D. David Michael Frank
    David Michael Frank is an American composer best known for his work on film and television scores.
  • E. David Jeffrey
    David Jeffrey is a highly successful Northern Irish football manager and former player, best known for his trophy-laden spell in charge of Linfield FC.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c34be7a081909c9e98e7f7af7fde completed April 21, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090aff425481908a43921b18319068 completed May 17, 2026, 12:25 a.m.
NEDg Description generation batch_6a090c0eec0081908fe0f28e69d6d5d7 completed May 17, 2026, 12:30 a.m.
NED2 Entity disambiguation (via description) batch_6a090cc818b4819089ed588d3e460aa2 completed May 17, 2026, 12:33 a.m.
Created at: April 16, 2026, 12:43 p.m.