Triple
T32641304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zatoichi |
E834484
|
entity |
| Predicate | portrayedByIn2003Film |
P197269
|
FINISHED |
| Object | Takeshi Kitano |
—
|
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: Takeshi Kitano | Statement: [Zatoichi, portrayedByIn2003Film, Takeshi Kitano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedByIn2003Film Context triple: [Zatoichi, portrayedByIn2003Film, Takeshi Kitano]
-
A.
portrayedIn1953FilmBy
Indicates that an entity (typically a person or character) was depicted or played by another entity in a film released in the year 1953.
-
B.
playedBy
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
C.
portrayedBy
Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
-
D.
isPortrayedIn
Indicates that an entity is depicted or represented within a particular work, medium, or portrayal.
-
E.
madeFamousByFilm
Indicates that something became widely known or gained significant public recognition as a result of being featured in a film.
- 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_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
| PDg | Predicate description generation | batch_69fe831ba4708190a5564afd7d5a4319 |
completed | May 9, 2026, 12:43 a.m. |
Created at: May 1, 2026, 1:07 a.m.