Triple
T6507338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perfect Harmony |
E150042
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Dwayne |
E180710
|
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: Dwayne | Statement: [Perfect Harmony, character, Dwayne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dwayne Context triple: [Perfect Harmony, character, Dwayne]
-
A.
Dwayne
chosen
Dwayne is a masculine given name commonly used in English-speaking countries.
-
B.
Dwayne Wayne
Dwayne Wayne is a charismatic, math-loving college student best known for his flip-up glasses and evolving romance with Whitley Gilbert on the sitcom "A Different World."
-
C.
Dwyane
Dwyane is the distinctive given name of former NBA superstar Dwyane Wade, widely recognized for his career with the Miami Heat.
-
D.
Dwane
Dwane is a masculine given name most notably borne by NBA coach Dwane Casey.
-
E.
Dwayne Bacon
Dwayne Bacon is an American professional basketball player and former Florida State standout who has played in the NBA and overseas.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6996818c881909d036f916da0efb5 |
completed | March 27, 2026, 2:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb519b8081908db92ab57ad6e871 |
completed | March 27, 2026, 6:24 p.m. |
Created at: March 27, 2026, 1:43 p.m.