Triple
T13723236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fahrenheit 9/11 |
E329088
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Jeff Gibbs
Jeff Gibbs is a composer and musician best known for creating the score for Michael Moore's documentary film "Fahrenheit 9/11."
|
E1058363
|
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: Jeff Gibbs | Statement: [Fahrenheit 9/11, musicBy, Jeff Gibbs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Gibbs Context triple: [Fahrenheit 9/11, musicBy, Jeff Gibbs]
-
A.
Ty Gibbs
Ty Gibbs is an American professional stock car racing driver who competes in NASCAR, known for being a rising star and the grandson of team owner and former NFL coach Joe Gibbs.
-
B.
Timmy Gibbs
Timmy Gibbs is an actor best known for his role in the television series "Father Murphy."
-
C.
Kent Rogers
Kent Rogers was an American voice actor best known for his work in classic Warner Bros. cartoons during the 1940s.
-
D.
Pat Gibbs
Pat Gibbs is an American football coach and the father of NASCAR driver Ty Gibbs.
-
E.
T. Graham Brown
T. Graham Brown was a Scottish physician, physiologist, and mountaineer known for his pioneering climbs in the Alps and Alaska, including early ascents of major peaks such as Mount Foraker.
- 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: Jeff Gibbs Triple: [Fahrenheit 9/11, musicBy, Jeff Gibbs]
Generated description
Jeff Gibbs is a composer and musician best known for creating the score for Michael Moore's documentary film "Fahrenheit 9/11."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeff Gibbs Target entity description: Jeff Gibbs is a composer and musician best known for creating the score for Michael Moore's documentary film "Fahrenheit 9/11."
-
A.
Ty Gibbs
Ty Gibbs is an American professional stock car racing driver who competes in NASCAR, known for being a rising star and the grandson of team owner and former NFL coach Joe Gibbs.
-
B.
Timmy Gibbs
Timmy Gibbs is an actor best known for his role in the television series "Father Murphy."
-
C.
Kent Rogers
Kent Rogers was an American voice actor best known for his work in classic Warner Bros. cartoons during the 1940s.
-
D.
Pat Gibbs
Pat Gibbs is an American football coach and the father of NASCAR driver Ty Gibbs.
-
E.
T. Graham Brown
T. Graham Brown was a Scottish physician, physiologist, and mountaineer known for his pioneering climbs in the Alps and Alaska, including early ascents of major peaks such as Mount Foraker.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f52e748190b49c34e10ab8ac34 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5e1ecc8190a9fec550a99702c0 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e9e6ff88190b031fb1403cacabc |
completed | May 3, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a2d6e7ec81908a4cbc324e793c24 |
completed | May 3, 2026, 7:32 p.m. |
Created at: April 9, 2026, 9:55 p.m.