Triple
T18177448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wylie Red Heller Taccone |
E435199
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object |
Red
Red is the middle name of Wylie Red Heller Taccone, likely serving as a distinctive personal or family-given name.
|
E1311695
|
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: [Wylie Red Heller Taccone, middleName, Red]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Context triple: [Wylie Red Heller Taccone, middleName, 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: [Wylie Red Heller Taccone, middleName, Red]
Generated description
Red is the middle name of Wylie Red Heller Taccone, likely serving as a distinctive personal or family-given name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Red Target entity description: Red is the middle name of Wylie Red Heller Taccone, likely serving as a distinctive personal or family-given name.
-
A.
Red
Red is the nickname of Red Cashion, a well-known former American football official in the National Football League.
-
B.
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.
-
C.
Red
Red is the famous nickname of Arnold "Red" Auerbach, the legendary Boston Celtics coach and executive known for his pivotal role in building an NBA dynasty.
-
D.
Red
Red is the nickname of William L. "Red" Whittaker, a pioneering American roboticist known for his work in field robotics and autonomous vehicles.
-
E.
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.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df5a72008190bd2e56205b995a87 |
completed | April 19, 2026, 1:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0397fd8ab481909868d3600172b0e4 |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a0398fb7fb481908a32c56a798d81fd |
completed | May 12, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a039a2b85888190bbcae1ba9d8ba715 |
completed | May 12, 2026, 9:22 p.m. |
Created at: April 10, 2026, 10:31 a.m.