Triple
T27912007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jules Brown |
E705952
|
entity |
| Predicate | portrayedInAudio |
P113343
|
FINISHED |
| Object | Back to the Future: The Animated Series |
—
|
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: Back to the Future: The Animated Series | Statement: [Jules Brown, portrayedInAudio, Back to the Future: The Animated Series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedInAudio Context triple: [Jules Brown, portrayedInAudio, Back to the Future: The Animated Series]
-
A.
appearedInAudioFor
chosen
Indicates that one entity was featured or took part in an audio recording, production, or program associated with another entity.
-
B.
hasVoiceActing
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
-
C.
portrayedVia
Indicates that one entity is represented, depicted, or expressed through a particular medium, method, or channel.
-
D.
spokenBy
Indicates that a particular utterance, statement, or piece of speech is produced or said by a specific entity.
-
E.
portrayedInWork
Indicates that an entity is depicted or represented as a character, figure, or subject within a specific creative work.
- 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_69ef96b5aad08190be36a277c31e7004 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 27, 2026, 6:50 p.m.