Triple
T20572412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacksonville High School |
E505133
|
entity |
| Predicate | notableAlumni |
P51
|
FINISHED |
| Object | Dan Hampton |
—
|
NE NERFINISHED |
How this triple was built (2 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: Dan Hampton | Statement: [Jacksonville High School, notableAlumni, Dan Hampton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Hampton Context triple: [Jacksonville High School, notableAlumni, Dan Hampton]
-
A.
Dan Hampton
chosen
Dan Hampton is a Hall of Fame defensive lineman best known for anchoring the Chicago Bears’ dominant 1980s defense.
-
B.
Tim Hampton
Tim Hampton is a film producer known for his work on the thriller movie "Frantic."
-
C.
Phil Dusenberry
Phil Dusenberry was an influential American advertising executive and creative director, best known for his groundbreaking work at BBDO and for shaping major campaigns for brands like Pepsi.
-
D.
Dave Dorman
Dave Dorman is an American illustrator best known for his detailed and dynamic science fiction and fantasy artwork, particularly his Star Wars paintings and comic book covers.
-
E.
Dan Harkins
Dan Harkins is a computer security researcher and cryptographer known for designing and contributing to widely used key exchange and authentication protocols.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a906f0508190ac698233738f4452 |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:39 a.m.