Triple
T12171108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holly Warlick |
E289966
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Warlick |
E289966
|
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: Warlick | Statement: [Holly Warlick, familyName, Warlick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warlick Context triple: [Holly Warlick, familyName, Warlick]
-
A.
Warlick
chosen
Warlick is a surname most notably associated with Holly Warlick, an American basketball coach and former player.
-
B.
Bryan Warrick
Bryan Warrick is a former American professional basketball player who played as a guard in the NBA during the early 1980s.
-
C.
Jock Landale
Jock Landale is an Australian professional basketball center known for his standout collegiate career at Saint Mary's and subsequent play in top international leagues and the NBA.
-
D.
Roderic Dallas
Roderic Dallas was a distinguished Australian fighter ace of World War I who became one of the leading pilots in British naval aviation.
-
E.
Rob Mullens
Rob Mullens is a college athletics administrator best known for serving as the athletic director at the University of Oregon.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d9659481909c75b12aa836bbf3 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a6de3081908e5e0030c081d5a4 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.