Triple
T35210111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babylon (2022 film) |
E1016649
|
entity |
| Predicate | tobeyMaguireRole |
P182620
|
FINISHED |
| Object | executive producer |
—
|
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: executive producer | Statement: [Babylon (2022 film), tobeyMaguireRole, executive producer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tobeyMaguireRole Context triple: [Babylon (2022 film), tobeyMaguireRole, executive producer]
-
A.
characterVoicedByTomHolland
Indicates that the character is voiced by Tom Holland.
-
B.
HughJackmanRole
Indicates that a given role or character is (or was) played by Hugh Jackman.
-
C.
worksForCharacterPlayedBy
Indicates that one character is employed by, or works under, another character who is portrayed by a specific actor.
-
D.
voiceActorOfPeterParker
Indicates that one entity serves as the voice actor for the character Peter Parker in a performance or production.
-
E.
apprenticeRolePlayedBy
Indicates that an apprentice role is portrayed or performed by a specific person or actor.
- 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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:02 p.m.