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.