Triple
T2348603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duane Charles Parcells |
E45191
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Duane |
E45191
|
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: Duane | Statement: [Duane Charles Parcells, givenName, Duane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duane Context triple: [Duane Charles Parcells, givenName, Duane]
-
A.
Duane
chosen
Duane is the given first name of Pro Football Hall of Fame coach Bill Parcells, a legendary NFL head coach known for leading the New York Giants to two Super Bowl titles.
-
B.
Duggan
Duggan is a surname of Irish origin borne by various notable individuals across fields such as entertainment, sports, and politics.
-
C.
Dinneen
Dinneen is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
-
D.
Dunn
Dunn is a surname of English and Irish origin borne by numerous notable individuals across fields such as politics, sports, and the arts.
-
E.
Dale
Dale is one half of the classic chipmunk duo Chip 'n' Dale from Disney's Mickey Mouse universe, known for his goofy, fun-loving personality and mischief.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6cc90d08190824a90e190d1b017 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae962cb7988190bb2bb23191acf6ae |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:52 p.m.