Triple
T32645857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinocchio (2022 film) |
E834593
|
entity |
| Predicate | characterPortrayedByJosephGordonLevitt |
P198761
|
FINISHED |
| Object | Jiminy Cricket (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: Jiminy Cricket (voice) | Statement: [Pinocchio (2022 film), characterPortrayedByJosephGordonLevitt, Jiminy Cricket (voice)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPortrayedByJosephGordonLevitt Context triple: [Pinocchio (2022 film), characterPortrayedByJosephGordonLevitt, Jiminy Cricket (voice)]
-
A.
characterPortrayedByFrancisLSullivan
Indicates that a character is portrayed or played by the actor Francis L. Sullivan.
-
B.
characterPlayedBy Jonathan Tucker
Indicates that the specified character is portrayed or acted by Jonathan Tucker.
-
C.
characterVoicedBy Ashton Kutcher
Indicates that a character is voiced by Ashton Kutcher in a performance or production.
-
D.
characterPortrayedByBenjaminEvanAinsworth
Indicates that the subject is a character portrayed by Benjamin Evan Ainsworth.
-
E.
characterPlayedByJonHamm
Indicates that the subject is a character portrayed by the actor Jon Hamm.
- 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_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
| PDg | Predicate description generation | batch_69ff04901ab081908b68563836fcdc99 |
completed | May 9, 2026, 9:55 a.m. |
Created at: May 1, 2026, 1:07 a.m.