Triple
T19127105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Collier |
E468212
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joe Collier |
—
|
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: Joe Collier | Statement: [Joe Collier, name, Joe Collier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Collier Context triple: [Joe Collier, name, Joe Collier]
-
A.
Joe Collier
chosen
Joe Collier was an American football coach best known as a longtime defensive coordinator for the Denver Broncos, where he helped develop the famed "Orange Crush" defense.
-
B.
Grant Collier
Grant Collier is a video game developer best known as a co-founder of Infinity Ward and a key figure behind the early Call of Duty series.
-
C.
Don "Wardaddy" Collier
Don "Wardaddy" Collier is the battle-hardened U.S. Army tank commander portrayed by Brad Pitt in the World War II film "Fury."
-
D.
George Collier
George Collier was a British Royal Navy officer best known for leading the naval forces that helped defeat the American-led Penobscot Expedition during the American Revolutionary War.
-
E.
Rob Collins
Rob Collins is an Australian actor known for his work in film, television, and theatre, including prominent roles in Australian drama series and feature films.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3cd851081909d5665b362ae08de |
completed | April 20, 2026, 8:29 a.m. |
Created at: April 10, 2026, 12:05 p.m.