Triple
T38596890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobin Bell |
E934104
|
entity |
| Predicate | hasVoiceActedIn |
P83203
|
FINISHED |
| Object | The Road to El Dorado |
—
|
NE NERFINISHED |
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: The Road to El Dorado | Statement: [Tobin Bell, hasVoiceActedIn, The Road to El Dorado]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVoiceActedIn Context triple: [Tobin Bell, hasVoiceActedIn, The Road to El Dorado]
-
A.
hasVoiceActing
chosen
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
-
B.
voicedByAlsoKnownFor
Indicates that the person who voices a character is also notably recognized for another specific role or work.
-
C.
leadActorAlsoVoices
Indicates that the lead actor in a production also provides the voice for a character, typically in an animated or voice-over role.
-
D.
speaksInFilm
Indicates that a person or character provides spoken dialogue or voice work within a particular film.
-
E.
characterTypeVoiced
Indicates that one character serves as the voice actor or vocal performer for another character.
- F. None of above.
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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.