Triple
T25518260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brüno Gehard |
E639569
|
entity |
| Predicate | hasNameInFilmTitle |
P136503
|
FINISHED |
| Object | Brüno |
—
|
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: Brüno | Statement: [Brüno Gehard, hasNameInFilmTitle, Brüno]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameInFilmTitle Context triple: [Brüno Gehard, hasNameInFilmTitle, Brüno]
-
A.
hasStageNameInFilm
Indicates that an individual is credited or referred to by a particular stage name in a specific film.
-
B.
hasFilmNamedAfter
chosen
Indicates that one entity (typically a person, place, event, or work) serves as the inspiration or subject for a film that bears its name or is explicitly titled after it.
-
C.
givenNameInFilm
Indicates that a person is referred to by a particular given (first) name within the context of a specific film.
-
D.
hasProtagonistNameInFilmAdaptation
Indicates that a specific name is used for the story’s main character in a particular film adaptation.
-
E.
hasTitleInCredits
Indicates that an entity is listed with a specific title or role in the credits of a work.
- F. None of above.
Provenance (3 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_69e75dbe32e48190a62d749a0ff2a96a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 21, 2026, 2:58 p.m.