Triple

T13216939
Position Surface form Disambiguated ID Type / Status
Subject The Big Blue E314640 entity
Predicate writer P1360 FINISHED
Object Robert Garland
Robert Garland was an American screenwriter best known for his work on films such as "The Big Blue" and "No Way Out."
 E1028834 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: Robert Garland | Statement: [The Big Blue, writer, Robert Garland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Robert Garland
Context triple: [The Big Blue, writer, Robert Garland]
  • A. Eric Gairy
    Eric Gairy was a Grenadian politician and trade union leader who served as the country’s first prime minister and was later overthrown in a 1979 coup.
  • B. Phil Garrod
    Phil Garrod is a composer best known for creating energetic, guitar-driven sports theme music widely used in American television broadcasts.
  • C. John Hollowood
    John Hollowood is a businessman known for being one of the founders of the multinational chemicals company Ineos.
  • D. Anthony Harvey
    Anthony Harvey was a British film editor and director best known for his acclaimed work on the historical drama "The Lion in Winter."
  • E. Ronald Dacey
    Ronald Dacey is a central character in the television series "StartUp," portrayed as a skilled but conflicted gang leader who becomes an unlikely tech entrepreneur.
  • 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: Robert Garland
Triple: [The Big Blue, writer, Robert Garland]
Generated description
Robert Garland was an American screenwriter best known for his work on films such as "The Big Blue" and "No Way Out."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Robert Garland
Target entity description: Robert Garland was an American screenwriter best known for his work on films such as "The Big Blue" and "No Way Out."
  • A. Eric Gairy
    Eric Gairy was a Grenadian politician and trade union leader who served as the country’s first prime minister and was later overthrown in a 1979 coup.
  • B. Phil Garrod
    Phil Garrod is a composer best known for creating energetic, guitar-driven sports theme music widely used in American television broadcasts.
  • C. John Hollowood
    John Hollowood is a businessman known for being one of the founders of the multinational chemicals company Ineos.
  • D. Anthony Harvey
    Anthony Harvey was a British film editor and director best known for his acclaimed work on the historical drama "The Lion in Winter."
  • E. Ronald Dacey
    Ronald Dacey is a central character in the television series "StartUp," portrayed as a skilled but conflicted gang leader who becomes an unlikely tech entrepreneur.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf28c9c819080d7b42d20f579d1 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff1ebf648190a27d11b3dc494446 completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f7013a368c8190a768f837f6551f5b completed May 3, 2026, 8:03 a.m.
NED2 Entity disambiguation (via description) batch_69f7038563848190ae96538e30ecafd5 completed May 3, 2026, 8:12 a.m.
Created at: April 9, 2026, 9:18 p.m.