Triple

T8843385
Position Surface form Disambiguated ID Type / Status
Subject Charles Lloyd E210441 entity
Predicate associatedMusician P20942 FINISHED
Object Eric Harland
Eric Harland is an acclaimed American jazz drummer known for his innovative, highly dynamic playing and collaborations with leading contemporary jazz artists.
E760210 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: Eric Harland | Statement: [Charles Lloyd, associatedMusician, Eric Harland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Harland
Context triple: [Charles Lloyd, associatedMusician, Eric Harland]
  • A. Dan Harrow
    Dan Harrow is the earnest, idealistic young farmer who serves as the central romantic lead in the stage musical and film "The Farmer Takes a Wife."
  • B. Brandon Hammond
    Brandon Hammond is an American former child actor best known for his roles in 1990s films like "Space Jam," "Soul Food," and "Waiting to Exhale."
  • C. Scott Gorham
    Scott Gorham is an American guitarist best known for his long tenure with the hard rock band Thin Lizzy and later work with its successor projects.
  • D. David Holt
    David Holt was an American child actor active in the 1930s and 1940s, appearing in numerous Hollywood films.
  • E. Tim Holbrook
    Tim Holbrook is an American legal scholar known for his work in intellectual property and patent law.
  • 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: Eric Harland
Triple: [Charles Lloyd, associatedMusician, Eric Harland]
Generated description
Eric Harland is an acclaimed American jazz drummer known for his innovative, highly dynamic playing and collaborations with leading contemporary jazz artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eric Harland
Target entity description: Eric Harland is an acclaimed American jazz drummer known for his innovative, highly dynamic playing and collaborations with leading contemporary jazz artists.
  • A. Dan Harrow
    Dan Harrow is the earnest, idealistic young farmer who serves as the central romantic lead in the stage musical and film "The Farmer Takes a Wife."
  • B. Brandon Hammond
    Brandon Hammond is an American former child actor best known for his roles in 1990s films like "Space Jam," "Soul Food," and "Waiting to Exhale."
  • C. Scott Gorham
    Scott Gorham is an American guitarist best known for his long tenure with the hard rock band Thin Lizzy and later work with its successor projects.
  • D. David Holt
    David Holt was an American child actor active in the 1930s and 1940s, appearing in numerous Hollywood films.
  • E. Tim Holbrook
    Tim Holbrook is an American legal scholar known for his work in intellectual property and patent law.
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc608a73c88190875409fef79ffc8a completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89ad0a3c8190a2bcf9a106138835 completed April 3, 2026, 9:34 a.m.
NEDg Description generation batch_69cf8ac657a48190b01e3f0365105f3c completed April 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69cf8b8849ec8190915fa087b1b46c18 completed April 3, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:48 p.m.