Triple
T8089630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dwight Gayle |
E188823
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dwight |
E3096
|
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: Dwight | Statement: [Dwight Gayle, givenName, Dwight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dwight Context triple: [Dwight Gayle, givenName, Dwight]
-
A.
Dwight
chosen
Dwight is a masculine given name most famously borne by Dwight D. Eisenhower, the 34th president of the United States and Supreme Allied Commander in World War II.
-
B.
Dwight
Dwight is a small rural community located within Ontario’s District Municipality of Muskoka, known for its proximity to lakes, forests, and cottage country recreation.
-
C.
Dwight
Dwight is a supporting character in Woody Allen's film "Blue Jasmine," portrayed as a wealthy and ambitious diplomat who becomes romantically involved with the troubled protagonist, Jasmine.
-
D.
Dwight White
Dwight White was a standout defensive end for the Pittsburgh Steelers, best known as a key member of their dominant 1970s "Steel Curtain" defense that helped the team win multiple Super Bowls.
-
E.
Dwane
Dwane is a masculine given name most notably borne by NBA coach Dwane Casey.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb421e30e88190b9699b338b69b81c |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc640a42648190bc1a3072eb338e22 |
completed | April 1, 2026, 12:17 a.m. |
Created at: March 30, 2026, 5:29 p.m.