Triple
T32645861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinocchio (2022 film) |
E834593
|
entity |
| Predicate | characterPortrayedByKeeganMichaelKey |
P198807
|
FINISHED |
| Object | Honest John (voice) |
—
|
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: Honest John (voice) | Statement: [Pinocchio (2022 film), characterPortrayedByKeeganMichaelKey, Honest John (voice)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPortrayedByKeeganMichaelKey Context triple: [Pinocchio (2022 film), characterPortrayedByKeeganMichaelKey, Honest John (voice)]
-
A.
characterVoicedBy Ashton Kutcher
Indicates that a character is voiced by Ashton Kutcher in a performance or production.
-
B.
characterPortrayedIs
Indicates that one entity serves as the fictional or dramatic role that is depicted or played by another entity.
-
C.
characterPortrayedByJosephGordonLevitt
Indicates that a given character is portrayed by the actor Joseph Gordon-Levitt.
-
D.
characterVoicedBy John Leguizamo
Indicates that the character is voiced by John Leguizamo.
-
E.
characterPortrayedByBenjaminEvanAinsworth
Indicates that the subject is a character portrayed by Benjamin Evan Ainsworth.
- F. None of above. chosen
Provenance (4 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff0b6bc4a88190bf1d38c6ea26bcdc |
completed | May 9, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_69ff082a22f4819095ded971dbd8ea7b |
completed | May 9, 2026, 10:10 a.m. |
| PDg | Predicate description generation | batch_69ff0b6a541c8190a6fa847552f3491f |
completed | May 9, 2026, 10:24 a.m. |
Created at: May 1, 2026, 1:07 a.m.