Triple
T300161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1984 Super Bowl commercial |
E6179
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Brent Thomas
Brent Thomas is an advertising professional best known for writing Apple’s iconic 1984 Super Bowl commercial.
|
E82294
|
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: Brent Thomas | Statement: [1984 Super Bowl commercial, writer, Brent Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brent Thomas Context triple: [1984 Super Bowl commercial, writer, Brent Thomas]
-
A.
Eric Thibault
Eric Thibault is a professional basketball coach best known for leading the WNBA’s Washington Mystics.
-
B.
Matthew Nelson
Matthew Nelson is an American musician best known as one half of the twin brother rock duo Nelson and as a son of rock and roll star Ricky Nelson.
-
C.
Jay Peterson
Jay Peterson is a television producer best known for his executive production work on popular unscripted and reality series, including the hit show "Lip Sync Battle."
-
D.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
-
E.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
- 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: Brent Thomas Triple: [1984 Super Bowl commercial, writer, Brent Thomas]
Generated description
Brent Thomas is an advertising professional best known for writing Apple’s iconic 1984 Super Bowl commercial.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brent Thomas Target entity description: Brent Thomas is an advertising professional best known for writing Apple’s iconic 1984 Super Bowl commercial.
-
A.
Eric Thibault
Eric Thibault is a professional basketball coach best known for leading the WNBA’s Washington Mystics.
-
B.
Matthew Nelson
Matthew Nelson is an American musician best known as one half of the twin brother rock duo Nelson and as a son of rock and roll star Ricky Nelson.
-
C.
Jay Peterson
Jay Peterson is a television producer best known for his executive production work on popular unscripted and reality series, including the hit show "Lip Sync Battle."
-
D.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
-
E.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e9e53b2c81909c4a15b366d94cd6 |
completed | Feb. 28, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c38608948190b1fc28a2fec670ea |
completed | March 2, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69a5c3e18df88190b4e3cc8512a4da15 |
completed | March 2, 2026, 5:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5cce2731081909573adb01747160f |
completed | March 2, 2026, 5:46 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.