Triple
T14213687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epic |
E352292
|
entity |
| Predicate | voiceActorOf |
P13156
|
FINISHED |
| Object | Colin Farrell as Ronin |
E78591
|
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: Colin Farrell as Ronin | Statement: [Epic, voiceActorOf, Colin Farrell as Ronin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colin Farrell as Ronin Context triple: [Epic, voiceActorOf, Colin Farrell as Ronin]
-
A.
Caspian Vaughn
Caspian Vaughn is a son of German supermodel and actress Claudia Schiffer.
-
B.
Martin Freeman as Everett K. Ross
Martin Freeman as Everett K. Ross is the Marvel Cinematic Universe’s depiction of a well-meaning CIA operative who frequently allies with Wakanda and its heroes.
-
C.
Colin Farrell
chosen
Colin Farrell is an Irish actor known for his versatile performances in films such as "In Bruges," "Phone Booth," and "The Banshees of Inisherin."
-
D.
Bret Iwan
Bret Iwan is an American voice actor best known for succeeding Wayne Allwine as the official voice of Mickey Mouse in Disney productions.
-
E.
Frank Grillo
Frank Grillo is an American actor best known for his tough, action-oriented roles in films such as the Purge series and the Marvel Cinematic Universe.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de620f07bc81909212dcd1c91b5f95 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd1959f3d481909c15730bbd6f4748 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:06 a.m.