Triple

T15047864
Position Surface form Disambiguated ID Type / Status
Subject Donmar Warehouse E379276 entity
Predicate notableProduction P4 FINISHED
Object Red
Red is a Tony Award–winning play by John Logan that explores the life, work, and inner conflicts of abstract expressionist painter Mark Rothko.
E320500 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: [Donmar Warehouse, notableProduction, Red]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red
Context triple: [Donmar Warehouse, notableProduction, 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: [Donmar Warehouse, notableProduction, Red]
Generated description
Red is a Tony Award–winning play by John Logan that explores the life, work, and inner conflicts of abstract expressionist painter Mark Rothko.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Red
Target entity description: Red is a Tony Award–winning play by John Logan that explores the life, work, and inner conflicts of abstract expressionist painter Mark Rothko.
  • A. Red chosen
    "Red" is a stage play by John Logan that dramatizes the life and work of abstract expressionist painter Mark Rothko, particularly his creation of the Seagram Murals.
  • 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 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.
  • D. Red
    "Red" is a 1974 progressive rock album by King Crimson, renowned for its heavy, experimental sound and lasting influence on the genre.
  • E. Red
    Red is the nickname of Red Garland, a renowned American jazz pianist known for his work with the Miles Davis Quintet and his influential trio recordings.
  • F. None of above.

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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8e64e48190873104a02a676ff3 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de73614819098b7a88624407d0e completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fe9f49b1108190a453ef3805006e6c completed May 9, 2026, 2:43 a.m.
NED2 Entity disambiguation (via description) batch_69fe9fb79bd08190b22f92df751d0e58 completed May 9, 2026, 2:45 a.m.
Created at: April 10, 2026, 3 a.m.