Triple

T18027189
Position Surface form Disambiguated ID Type / Status
Subject Squire 'Red' Will Danaher E431284 entity
Predicate nickname P55 FINISHED
Object Red
Red is the fiery, hot-tempered Irishman Squire Will Danaher from the classic film "The Quiet Man."
E1301939 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: Red | Statement: [Squire 'Red' Will Danaher, nickname, Red]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red
Context triple: [Squire 'Red' Will Danaher, nickname, Red]
  • A. Red
    Red is the nickname of William L. "Red" Whittaker, a pioneering American roboticist known for his work in field robotics and autonomous vehicles.
  • B. Red
    Red is Taylor Swift’s critically acclaimed 2012 studio album that marked her transition from country to mainstream pop with emotionally charged, genre-blending songs.
  • C. Red
    Red is the tough, sharp-tongued Russian matriarch and prison cook from the television series "Orange Is the New Black."
  • D. Red
    Red is Virgin America’s signature in-flight entertainment system, offering passengers on-demand movies, TV, music, games, and other interactive services.
  • E. Red
    "Red" is a song featured on the album *Careful Confessions* by singer-songwriter Sara Bareilles.
  • 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: Red
Triple: [Squire 'Red' Will Danaher, nickname, Red]
Generated description
Red is the fiery, hot-tempered Irishman Squire Will Danaher from the classic film "The Quiet Man."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Red
Target entity description: Red is the fiery, hot-tempered Irishman Squire Will Danaher from the classic film "The Quiet Man."
  • A. Red
    Red is a central character in Stephen King's novella "Rita Hayworth and Shawshank Redemption" and its film adaptation, known as the wise, long-term inmate who befriends Andy Dufresne.
  • B. Red
    "Red" is a 2010 action-comedy film about retired black-ops agents forced back into the field, known for its ensemble cast led by Bruce Willis, Helen Mirren, Morgan Freeman, and John Malkovich.
  • C. Red
    Red is the short-tempered, red-feathered bird who serves as the central protagonist of the Angry Birds franchise and its film adaptations.
  • D. Red
    Red is the nickname of Red Cashion, a well-known former American football official in the National Football League.
  • E. Red
    Red is the tough, sharp-tongued Russian matriarch and prison cook from the television series "Orange Is the New Black."
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9c7be308190af0d77c0df6d94ce completed April 19, 2026, 11:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03432cd3088190892e4c23e9e42b4e completed May 12, 2026, 3:11 p.m.
NEDg Description generation batch_6a034673924c81908ce78f3040b0b6e7 completed May 12, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_6a0346e675e0819098af9e720adda576 completed May 12, 2026, 3:27 p.m.
Created at: April 10, 2026, 10:24 a.m.