Triple
T35702513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Dragon: Jake Long |
E1031622
|
entity |
| Predicate | leadVoiceRole |
P43874
|
FINISHED |
| Object | Jake Long |
—
|
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: Jake Long | Statement: [American Dragon: Jake Long, leadVoiceRole, Jake Long]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadVoiceRole Context triple: [American Dragon: Jake Long, leadVoiceRole, Jake Long]
-
A.
roleInVox
Indicates that an entity holds a specific role or function within a Vox-related context, such as a project, system, or organization named or described as "Vox."
-
B.
leadFemaleRoleType
Indicates that an entity holds or is associated with the primary female leading role type in a work or production.
-
C.
leadMaleRoleType
Indicates that an entity holds the primary or leading male role type within a given context or production.
-
D.
roleInTheVoices
Indicates that an entity has a specific role or participation in the production or performance of "The Voices."
-
E.
voiceActingRoleIn
chosen
Indicates that an entity performs a voice acting role in a specified work or production.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:05 p.m.