Triple
T1809245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Baby |
E40291
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Troy Miller |
E216469
|
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: Troy Miller | Statement: [King Baby, producer, Troy Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troy Miller Context triple: [King Baby, producer, Troy Miller]
-
A.
Troy Miller
chosen
Troy Miller is an American film and television director and producer known for his work in comedy specials, series, and feature films.
-
B.
Trent Stevens
Trent Stevens is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Stevens.
-
C.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
D.
Drew Hansen
Drew Hansen is an American lawyer, author, and Democratic politician who has served in the Washington State Legislature.
-
E.
Jake Tucker
Jake Tucker is a recurring character on the animated television series "Family Guy," known as the physically deformed son of news anchor Tom Tucker.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65c310d88190bfd9c27fa238e648 |
completed | March 6, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb9c69488190abcbbf796176fca5 |
completed | March 8, 2026, 10:43 p.m. |
Created at: March 4, 2026, 7:32 p.m.