Triple
T36434412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Motive |
E897532
|
entity |
| Predicate | featuresCinematographicWorkOf |
P70373
|
FINISHED |
| Object | Enrique Chediak |
E259262
|
NE FINISHED |
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: Enrique Chediak | Statement: [The Motive, featuresCinematographicWorkOf, Enrique Chediak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCinematographicWorkOf Context triple: [The Motive, featuresCinematographicWorkOf, Enrique Chediak]
-
A.
featuredInFilmBy
Indicates that an entity is prominently included or showcased within a film that is created, directed, or produced by a specified person or organization.
-
B.
featuresCast
chosen
Indicates that a creative work includes a particular person or group as part of its cast.
-
C.
filmAbility
Indicates that one entity has the capability or skill to create, direct, or otherwise produce films involving another entity.
-
D.
workFilmType
Indicates the type or category of film associated with a particular work.
-
E.
filmicFunction
Indicates the role or purpose that something serves within the structure, style, or narrative function of a film.
- F. None of above.
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_69f76e56636481908eda808ab0273401 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39e6caeeb481908a5a023d748241f9 |
completed | June 23, 2026, 1:52 a.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.