Triple

T1794789
Position Surface form Disambiguated ID Type / Status
Subject The Grass Harp E39578 entity
Predicate featuresCharacter P626 FINISHED
Object Judge Cool
Judge Cool is a character in Truman Capote's novella "The Grass Harp," serving as a wise, principled local judge who plays a key role in the small-town drama.
 E202304 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: Judge Cool | Statement: [The Grass Harp, featuresCharacter, Judge Cool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Judge Cool
Context triple: [The Grass Harp, featuresCharacter, Judge Cool]
  • A. Lord Judge
    Lord Judge is a prominent British jurist who served as Lord Chief Justice of England and Wales.
  • B. Judge Doom
    Judge Doom is the sinister, cartoon-hating villain and secret mastermind of the plot in the live-action/animated film "Who Framed Roger Rabbit."
  • C. Judge Merle
    Judge Merle is a fictional judge who presides over the central courtroom trial in the play and film "Inherit the Wind."
  • D. Judge Staveley
    Judge Staveley is a central fictional judge in Anthony Trollope’s novel "Orley Farm," known for his integrity and involvement in the novel’s legal and moral conflicts.
  • E. Judge Levi Parsons
    Judge Levi Parsons was an American jurist and railroad executive best known for his role in establishing the Missouri–Kansas–Texas Railroad in the 19th century.
  • 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: Judge Cool
Triple: [The Grass Harp, featuresCharacter, Judge Cool]
Generated description
Judge Cool is a character in Truman Capote's novella "The Grass Harp," serving as a wise, principled local judge who plays a key role in the small-town drama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Judge Cool
Target entity description: Judge Cool is a character in Truman Capote's novella "The Grass Harp," serving as a wise, principled local judge who plays a key role in the small-town drama.
  • A. Lord Judge
    Lord Judge is a prominent British jurist who served as Lord Chief Justice of England and Wales.
  • B. Judge Doom
    Judge Doom is the sinister, cartoon-hating villain and secret mastermind of the plot in the live-action/animated film "Who Framed Roger Rabbit."
  • C. Judge Merle
    Judge Merle is a fictional judge who presides over the central courtroom trial in the play and film "Inherit the Wind."
  • D. Judge Staveley
    Judge Staveley is a central fictional judge in Anthony Trollope’s novel "Orley Farm," known for his integrity and involvement in the novel’s legal and moral conflicts.
  • E. Judge Levi Parsons
    Judge Levi Parsons was an American jurist and railroad executive best known for his role in establishing the Missouri–Kansas–Texas Railroad in the 19th century.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa653daa0c8190a5d96c20c8a0af15 completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d49d7481909dcb5cc54b92e3cc completed March 8, 2026, 5:45 p.m.
NEDg Description generation batch_69adb8b54a5081908b7dba1ff0d1a8da completed March 8, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69adb9b7a32481908a11686d658a077a completed March 8, 2026, 6:02 p.m.
Created at: March 4, 2026, 7:32 p.m.