Triple
T13351051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Eggby |
E318068
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Razorback |
E769666
|
NE FINISHED |
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: Razorback | Statement: [David Eggby, notableWork, Razorback]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Razorback Context triple: [David Eggby, notableWork, Razorback]
-
A.
Razorback
chosen
Razorback is a 1984 Australian horror film about a giant wild boar terrorizing the Outback.
-
B.
Baylor Bear
Baylor Bear is the costumed bear mascot representing Baylor University's athletic teams and school spirit.
-
C.
Cocky the Gamecock
Cocky the Gamecock is the costumed rooster mascot of the University of South Carolina, known for energizing crowds at the school's athletic events.
-
D.
Cocky the Gamecock
Cocky the Gamecock is the costumed gamecock mascot representing Jacksonville State University at its athletic events and campus activities.
-
E.
War Eagle
War Eagle is the fierce bird-of-prey mascot that represents Woodward Academy’s athletic teams and school spirit.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8c2f1c819094f0970f35f18afa |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f47fd7c8190b8d98a181acd7710 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:31 p.m.