Triple

T11447047
Position Surface form Disambiguated ID Type / Status
Subject Heaven Knows What E271291 entity
Predicate musicBy P1952 FINISHED
Object Paul Grimstad
Paul Grimstad is a composer and musician known for his film scores, including his work on the independent drama "Heaven Knows What."
E931723 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 Grimstad | Statement: [Heaven Knows What, musicBy, Paul Grimstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Grimstad
Context triple: [Heaven Knows What, musicBy, Paul Grimstad]
  • A. Christian M. Ravndal
    Christian M. Ravndal was an American diplomat who served as the United States Ambassador to Hungary.
  • B. Carl Nesjar
    Carl Nesjar was a Norwegian artist and sculptor best known for his long-term collaboration with Pablo Picasso, realizing many of Picasso’s monumental concrete and sandblasted public artworks.
  • C. Daniel Berg Hestad
    Daniel Berg Hestad is a Norwegian former footballer and club legend best known for his long and record-setting career as a midfielder with Molde FK.
  • D. Gaear Grimsrud
    Gaear Grimsrud is a taciturn, brutally violent hitman and one of the primary antagonists in the Coen brothers’ crime film "Fargo."
  • E. Harry Bratsberg
    Harry Bratsberg, better known as Harry Morgan, was an American actor famed for his roles in the television series M*A*S*H and Dragnet.
  • 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 Grimstad
Triple: [Heaven Knows What, musicBy, Paul Grimstad]
Generated description
Paul Grimstad is a composer and musician known for his film scores, including his work on the independent drama "Heaven Knows What."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paul Grimstad
Target entity description: Paul Grimstad is a composer and musician known for his film scores, including his work on the independent drama "Heaven Knows What."
  • A. Christian M. Ravndal
    Christian M. Ravndal was an American diplomat who served as the United States Ambassador to Hungary.
  • B. Carl Nesjar
    Carl Nesjar was a Norwegian artist and sculptor best known for his long-term collaboration with Pablo Picasso, realizing many of Picasso’s monumental concrete and sandblasted public artworks.
  • C. Daniel Berg Hestad
    Daniel Berg Hestad is a Norwegian former footballer and club legend best known for his long and record-setting career as a midfielder with Molde FK.
  • D. Gaear Grimsrud
    Gaear Grimsrud is a taciturn, brutally violent hitman and one of the primary antagonists in the Coen brothers’ crime film "Fargo."
  • E. Harry Bratsberg
    Harry Bratsberg, better known as Harry Morgan, was an American actor famed for his roles in the television series M*A*S*H and Dragnet.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c6d4890819082fb4a670feb2629 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e684e29a6c8190910b1c6f717d6c5e completed April 20, 2026, 7:56 p.m.
NEDg Description generation batch_69e68fd6b6088190b24f552b5afc3f55 completed April 20, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69e6b7a31b4081909b06bc9b6d0a1617 completed April 20, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:35 p.m.