Triple
T27176803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bourne Wood |
E683065
|
entity |
| Predicate | hasFilmingUseSince |
P184839
|
FINISHED |
| Object | late 1990s |
—
|
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: late 1990s | Statement: [Bourne Wood, hasFilmingUseSince, late 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmingUseSince Context triple: [Bourne Wood, hasFilmingUseSince, late 1990s]
-
A.
filmingStartedAfter
Indicates that the start of filming for one entity occurred later in time than the start of filming for another entity.
-
B.
hasFilmingInfrastructure
Indicates that a location or entity possesses the necessary facilities, equipment, and support systems required for film production to take place there.
-
C.
filmedBefore
Indicates that one filming event occurred earlier in time than another filming event.
-
D.
usedInProductionOfFilm
Indicates that something (such as a resource, tool, or material) was utilized during the making or production process of a film.
-
E.
hasTypeOfUseInFilm
Indicates that something is associated with a specific manner or category of use within the context of a film.
- 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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f7b628b17c8190aa058c1a51852a27 |
completed | May 3, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b5cadd308190a864245a21b08f9a |
completed | May 3, 2026, 8:53 p.m. |
Created at: April 27, 2026, 9:26 a.m.