Triple

T1180893
Position Surface form Disambiguated ID Type / Status
Subject Little Man Tate E25133 entity
Predicate musicBy P1952 FINISHED
Object Mark Isham
Mark Isham is an American composer and musician known for his atmospheric film scores and work in jazz and electronic music.
 E229397 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: Mark Isham | Statement: [Little Man Tate, musicBy, Mark Isham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark Isham
Context triple: [Little Man Tate, musicBy, Mark Isham]
  • A. Andrew Lesnie
    Andrew Lesnie was an Australian cinematographer best known for his Oscar-winning work on Peter Jackson’s The Lord of the Rings film trilogy.
  • B. Keith Scholey
    Keith Scholey is a British wildlife filmmaker and producer known for creating and overseeing major nature documentaries, including the acclaimed series Our Planet.
  • C. Tim Bevan
    Tim Bevan is a British film producer and co-founder of Working Title Films, known for overseeing numerous acclaimed UK and international movies.
  • D. John Linson
    John Linson is an American film and television producer best known for creating the series Yellowstone and producing projects like Sons of Anarchy.
  • E. Mark Stevens
    Mark Stevens was an American film and television actor best known for his roles in 1940s and 1950s dramas and film noir.
  • 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: Mark Isham
Triple: [Little Man Tate, musicBy, Mark Isham]
Generated description
Mark Isham is an American composer and musician known for his atmospheric film scores and work in jazz and electronic music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark Isham
Target entity description: Mark Isham is an American composer and musician known for his atmospheric film scores and work in jazz and electronic music.
  • A. Andrew Lesnie
    Andrew Lesnie was an Australian cinematographer best known for his Oscar-winning work on Peter Jackson’s The Lord of the Rings film trilogy.
  • B. Keith Scholey
    Keith Scholey is a British wildlife filmmaker and producer known for creating and overseeing major nature documentaries, including the acclaimed series Our Planet.
  • C. Tim Bevan
    Tim Bevan is a British film producer and co-founder of Working Title Films, known for overseeing numerous acclaimed UK and international movies.
  • D. John Linson
    John Linson is an American film and television producer best known for creating the series Yellowstone and producing projects like Sons of Anarchy.
  • E. Mark Stevens
    Mark Stevens was an American film and television actor best known for his roles in 1940s and 1950s dramas and film noir.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd32c5f48190b4e2d39fa052cbb7 completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fa73fe8819097bcd6c07793bc52 completed March 9, 2026, 1:17 a.m.
NEDg Description generation batch_69ae20efd4dc8190addf69c80a33d247 completed March 9, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_69ae21b4ce248190bbd7542592db0ec4 completed March 9, 2026, 1:26 a.m.
Created at: March 1, 2026, 7:45 p.m.