Triple
T15344518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkansas Razorbacks track and field |
E366880
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Hogs |
E996381
|
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: Hogs | Statement: [Arkansas Razorbacks track and field, nickname, Hogs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hogs Context triple: [Arkansas Razorbacks track and field, nickname, Hogs]
-
A.
Hogs
chosen
Hogs is a popular nickname for the University of Arkansas Razorbacks athletic teams and their fan base.
-
B.
Hog
The Hog is a rugged, heavily armored close air support aircraft renowned for its powerful GAU-8 Avenger cannon and ability to survive extensive battle damage.
-
C.
Pigs
Pigs is a 1973 American horror film, also known as Daddy’s Deadly Darling, about a disturbed young woman and a pig farmer who feed human corpses to his pigs.
-
D.
Ball Hogs
Ball Hogs is a professional 3-on-3 basketball team that competes in the BIG3 league founded by Ice Cube.
-
E.
Pig
Pig is a 2021 neo-noir drama film starring Nicolas Cage as a reclusive truffle hunter searching for his stolen foraging pig.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e163a3c8190ab933411372c1573 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f70e688190bb6a073e49ff968c |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.