Triple
T16057057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taller |
E389507
|
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: [Taller, producer, Troy Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troy Miller Context triple: [Taller, 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.
Jeremy Miller
Jeremy Miller is an American actor best known for playing Ben Seaver on the 1980s sitcom "Growing Pains."
-
C.
Troy Taylor
Troy Taylor is an American R&B record producer and songwriter known for his work with artists such as Trey Songz and Whitney Houston.
-
D.
Troy Dannen
Troy Dannen is a collegiate sports executive who serves as the athletic director for the University of Washington Huskies, overseeing the school's athletic programs and operations.
-
E.
Troy Buswell
Troy Buswell is an Australian politician who served in senior roles in Western Australia's state government, including as Treasurer.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837579488190964ca004c2eb01c4 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffeeb32348190a1896059479c236c |
completed | May 10, 2026, 3:43 a.m. |
Created at: April 10, 2026, 4:56 a.m.