Triple
T4521871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trolls World Tour |
E103286
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Ron Funches |
E483964
|
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: Ron Funches | Statement: [Trolls World Tour, voiceActor, Ron Funches]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Funches Context triple: [Trolls World Tour, voiceActor, Ron Funches]
-
A.
Ron Funches
chosen
Ron Funches is an American stand-up comedian and actor known for his warm, laid-back delivery and distinctive voice work in animated films and television.
-
B.
Roy Furman
Roy Furman is an American theater producer and financier known for backing numerous successful Broadway productions.
-
C.
Frank Fisk
Frank Fisk is an individual notable enough to be recognized as a bearer of the surname Fisk.
-
D.
Kevin Duckworth
Kevin Duckworth was an American NBA center best known for his All-Star years with the Portland Trail Blazers in the late 1980s and early 1990s.
-
E.
Dan Knechtges
Dan Knechtges is an American director and choreographer known for his work on numerous Broadway and Off-Broadway musicals.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd574bd6908190b939d92b5809b101 |
completed | March 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be922507408190bf3923699da57d95 |
completed | March 21, 2026, 12:42 p.m. |
Created at: March 20, 2026, 1:02 p.m.