Triple

T8802912
Position Surface form Disambiguated ID Type / Status
Subject David Prowse E209453 entity
Predicate familyName P18 FINISHED
Object Prowse
Prowse is a surname most famously associated with English bodybuilder and actor David Prowse, who physically portrayed Darth Vader in the original Star Wars trilogy.
 E759207 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: Prowse | Statement: [David Prowse, familyName, Prowse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prowse
Context triple: [David Prowse, familyName, Prowse]
  • A. Whitrow
    Whitrow is an English surname most notably associated with the late British actor Benjamin Whitrow.
  • B. Tilbury Douglas
    Tilbury Douglas is a UK-based engineering and construction company known for delivering major infrastructure and building projects, including work on the London Eye.
  • C. Redgrave
    Redgrave is a small rural village and civil parish in the county of Suffolk, England.
  • D. Tennant
    Tennant is a British surname borne by various notable figures in the arts, sciences, and public life.
  • E. Theron
    Theron is a surname of Greek origin that has been borne by various notable individuals, including actors, athletes, and public figures.
  • 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: Prowse
Triple: [David Prowse, familyName, Prowse]
Generated description
Prowse is a surname most famously associated with English bodybuilder and actor David Prowse, who physically portrayed Darth Vader in the original Star Wars trilogy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prowse
Target entity description: Prowse is a surname most famously associated with English bodybuilder and actor David Prowse, who physically portrayed Darth Vader in the original Star Wars trilogy.
  • A. Whitrow
    Whitrow is an English surname most notably associated with the late British actor Benjamin Whitrow.
  • B. Tilbury Douglas
    Tilbury Douglas is a UK-based engineering and construction company known for delivering major infrastructure and building projects, including work on the London Eye.
  • C. Redgrave
    Redgrave is a small rural village and civil parish in the county of Suffolk, England.
  • D. Tennant
    Tennant is a British surname borne by various notable figures in the arts, sciences, and public life.
  • E. Theron
    Theron is a surname of Greek origin that has been borne by various notable individuals, including actors, athletes, and public figures.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fbb5b108190a9f889d40aa20521 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f840d9c8190a88a61104969b0e5 completed April 3, 2026, 7:43 a.m.
NEDg Description generation batch_69cf708dbd54819099efa4b5729d6298 completed April 3, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69cf7163e2088190bf252896cc4036b2 completed April 3, 2026, 7:51 a.m.
Created at: March 30, 2026, 6:44 p.m.