Triple

T8431669
Position Surface form Disambiguated ID Type / Status
Subject Spooks E199127 entity
Predicate mainCharacter P1183 FINISHED
Object Danny Hunter
Danny Hunter is a fictional British intelligence officer and key member of MI5’s Section D in the television drama series "Spooks."
E737755 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: Danny Hunter | Statement: [Spooks, mainCharacter, Danny Hunter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny Hunter
Context triple: [Spooks, mainCharacter, Danny Hunter]
  • A. Dan Hunt
    Dan Hunt is an American soccer executive and co-owner of FC Dallas, known for leading the Major League Soccer club founded by his family.
  • B. Joe Hunter
    Joe Hunter was an American pianist and session musician best known as a founding member of Motown’s legendary house band, the Funk Brothers.
  • C. Dale Hunter
    Dale Hunter is a former Canadian NHL center known for his gritty, physical play and leadership, most notably with the Washington Capitals.
  • D. Mel Hunter
    Mel Hunter was an American illustrator and artist best known for his science fiction book and magazine covers in the mid-20th century.
  • E. Jonathan Hunt
    Jonathan Hunt was a prominent early 19th-century American politician and lawyer from Vermont who served multiple terms in the U.S. House of Representatives.
  • 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: Danny Hunter
Triple: [Spooks, mainCharacter, Danny Hunter]
Generated description
Danny Hunter is a fictional British intelligence officer and key member of MI5’s Section D in the television drama series "Spooks."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Danny Hunter
Target entity description: Danny Hunter is a fictional British intelligence officer and key member of MI5’s Section D in the television drama series "Spooks."
  • A. Dan Hunt
    Dan Hunt is an American soccer executive and co-owner of FC Dallas, known for leading the Major League Soccer club founded by his family.
  • B. Joe Hunter
    Joe Hunter was an American pianist and session musician best known as a founding member of Motown’s legendary house band, the Funk Brothers.
  • C. Dale Hunter
    Dale Hunter is a former Canadian NHL center known for his gritty, physical play and leadership, most notably with the Washington Capitals.
  • D. Mel Hunter
    Mel Hunter was an American illustrator and artist best known for his science fiction book and magazine covers in the mid-20th century.
  • E. Jonathan Hunt
    Jonathan Hunt was a prominent early 19th-century American politician and lawyer from Vermont who served multiple terms in the U.S. House of Representatives.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a4876c81908d5a708bb1f35683 completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4db8bd5481909bb41053832f60ba completed April 2, 2026, 11:06 a.m.
NEDg Description generation batch_69ce4f587a7081908c357f82bc28a1aa completed April 2, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_69ce5059e0f48190b8ff08253337f430 completed April 2, 2026, 11:17 a.m.
Created at: March 30, 2026, 6:07 p.m.