Triple
T23674063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyula Pados |
E584818
|
entity |
| Predicate | roleInMazeRunnerTheScorchTrials |
P152942
|
FINISHED |
| Object | director of photography |
—
|
LITERAL 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: director of photography | Statement: [Gyula Pados, roleInMazeRunnerTheScorchTrials, director of photography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMazeRunnerTheScorchTrials Context triple: [Gyula Pados, roleInMazeRunnerTheScorchTrials, director of photography]
-
A.
roleInReunionArenaProject
Indicates that an entity holds a specific role or responsibility within the Reunion Arena project.
-
B.
roleInLost
Indicates that an entity has a specific role or character assignment in the television series "Lost."
-
C.
roleInScoobyDoo2MonstersUnleashed
Indicates that an entity has a specific role or appearance in the film "Scooby-Doo 2: Monsters Unleashed."
-
D.
roleInMisfits
Indicates that an entity has a specific role or function within a group, project, or collection referred to as "Misfits."
-
E.
roleInResidentEvilApocalypse
Indicates that an entity portrays a specific role or character in the film "Resident Evil: Apocalypse."
- 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_69e24901f7c08190909fd727632e823d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4f1dee08190bfe78564c65f01ad |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:51 p.m.