Triple

T23441243
Position Surface form Disambiguated ID Type / Status
Subject USS Callister E565407 entity
Predicate stars P1956 FINISHED
Object Paul G. Raymond
Paul G. Raymond is an actor known for his role in the acclaimed "Black Mirror" episode "USS Callister."
 E1589669 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: Paul G. Raymond | Statement: [USS Callister, stars, Paul G. Raymond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paul G. Raymond
Context triple: [USS Callister, stars, Paul G. Raymond]
  • A. Lawrence Raymond
    Lawrence Raymond was a son of Henry Jarvis Raymond, the influential 19th-century American journalist, politician, and co-founder of The New York Times.
  • B. Paul Raymond
    Paul Raymond was an English keyboardist and guitarist best known for his work with the hard rock band UFO and other notable rock groups.
  • C. Paul Raymond
    Paul Raymond was a British entrepreneur and publisher best known for building a pornography and property empire in Soho, London.
  • D. Alan E. Nourse
    Alan E. Nourse was an American science fiction author and physician known for works that often explored medical and social themes, including the novel "The Bladerunner."
  • E. Roger K. Furse
    Roger K. Furse was a British costume and production designer renowned for his work on classic films, including being among the earliest recipients of the Academy Award for Best Costume Design.
  • 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: Paul G. Raymond
Triple: [USS Callister, stars, Paul G. Raymond]
Generated description
Paul G. Raymond is an actor known for his role in the acclaimed "Black Mirror" episode "USS Callister."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paul G. Raymond
Target entity description: Paul G. Raymond is an actor known for his role in the acclaimed "Black Mirror" episode "USS Callister."
  • A. Lawrence Raymond
    Lawrence Raymond was a son of Henry Jarvis Raymond, the influential 19th-century American journalist, politician, and co-founder of The New York Times.
  • B. Paul Raymond
    Paul Raymond was an English keyboardist and guitarist best known for his work with the hard rock band UFO and other notable rock groups.
  • C. Paul Raymond
    Paul Raymond was a British entrepreneur and publisher best known for building a pornography and property empire in Soho, London.
  • D. Alan E. Nourse
    Alan E. Nourse was an American science fiction author and physician known for works that often explored medical and social themes, including the novel "The Bladerunner."
  • E. Roger K. Furse
    Roger K. Furse was a British costume and production designer renowned for his work on classic films, including being among the earliest recipients of the Academy Award for Best Costume Design.
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a644f6948190af07b3c4c32fc7ae completed April 29, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c824b0dfc8190b03fb749d842484d completed May 19, 2026, 3:31 p.m.
NEDg Description generation batch_6a0ca6eee2f48190b4e03039c4c96abe completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca819f6dc8190852bb3c06768ac5a completed May 19, 2026, 6:12 p.m.
Created at: April 17, 2026, 5:51 p.m.