Triple
T9427721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 1989 World Tour |
E227296
|
entity |
| Predicate | includesSongsFrom |
P88838
|
FINISHED |
| Object |
Red
Red is Taylor Swift’s critically acclaimed 2012 studio album that blends country and pop influences and marked a major turning point in her artistic evolution.
|
E227272
|
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: [The 1989 World Tour, includesSongsFrom, Red]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Context triple: [The 1989 World Tour, includesSongsFrom, 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 the nickname of Red Rolfe, an American Major League Baseball third baseman best known for his years with the New York Yankees in the 1930s and 1940s.
-
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 one of the main playable heroes in the run-and-gun video game Gunstar Heroes, known for fast-paced combat and cooperative action.
- 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: [The 1989 World Tour, includesSongsFrom, Red]
Generated description
Red is Taylor Swift’s critically acclaimed 2012 studio album that blends country and pop influences and marked a major turning point in her artistic evolution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Red Target entity description: Red is Taylor Swift’s critically acclaimed 2012 studio album that blends country and pop influences and marked a major turning point in her artistic evolution.
-
A.
Red
chosen
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.
-
B.
Red
"Red" is a 1974 progressive rock album by King Crimson, renowned for its heavy, experimental sound and lasting influence on the genre.
-
C.
Red
Red is Virgin America’s signature in-flight entertainment system, offering passengers on-demand movies, TV, music, games, and other interactive services.
-
D.
Red
"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.
-
E.
Red
Red is the nickname of Red Cashion, a well-known former American football official in the National Football League.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c91ba1c8190b8331fb1ba58cc61 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14be2c3d081908f641d8b85b26ced |
completed | April 4, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69d14cd1423881908751f9229f7873fd |
completed | April 4, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14d5029cc819093de8d72e7c19c40 |
completed | April 4, 2026, 5:41 p.m. |
Created at: March 30, 2026, 7:49 p.m.