Triple
T23674061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyula Pados |
E584818
|
entity |
| Predicate | roleInMillionDollarArm |
P152940
|
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, roleInMillionDollarArm, director of photography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMillionDollarArm Context triple: [Gyula Pados, roleInMillionDollarArm, director of photography]
-
A.
roleInFinance
Indicates that an entity holds a specific function, responsibility, or position within a financial context, system, or transaction.
-
B.
roleInTonyStarkLife
Indicates the specific role or significance an entity has in Tony Stark's life.
-
C.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
-
D.
roleInAbramovichEmpire
Indicates that one entity holds a specific position, function, or involvement within the business or organizational network associated with Abramovich.
-
E.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
- 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.