Triple
T32645863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinocchio (2022 film) |
E834593
|
entity |
| Predicate | characterPortrayedByLukeEvans |
P198829
|
FINISHED |
| Object | The Coachman |
—
|
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 Coachman | Statement: [Pinocchio (2022 film), characterPortrayedByLukeEvans, The Coachman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPortrayedByLukeEvans Context triple: [Pinocchio (2022 film), characterPortrayedByLukeEvans, The Coachman]
-
A.
characterPlayedByJamieDornan
Indicates that the subject is a character portrayed by the actor Jamie Dornan.
-
B.
characterPortrayedByJosephGordonLevitt
Indicates that a given character is portrayed by the actor Joseph Gordon-Levitt.
-
C.
characterPortrayedByFrancisLSullivan
Indicates that a character is portrayed or played by the actor Francis L. Sullivan.
-
D.
characterPlayedByRichardHarris
Indicates that the subject is a character that was portrayed by the actor Richard Harris.
-
E.
characterPlayedByNicholasHamilton
Indicates that the subject is a character portrayed by the actor Nicholas Hamilton.
- 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_69ff0d80c0dc81909fbd12285c7a45c0 |
completed | May 9, 2026, 10:33 a.m. |
| PD | Predicate disambiguation | batch_69ff0cd03e78819094895058f925fbfa |
completed | May 9, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69ff0d800ee88190835e233d9e846cdb |
completed | May 9, 2026, 10:33 a.m. |
Created at: May 1, 2026, 1:07 a.m.