Triple
T9677019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Saw the Sea |
E234179
|
entity |
| Predicate | basedInFilmSetting |
P52439
|
FINISHED |
| Object | U.S. Navy context |
—
|
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: U.S. Navy context | Statement: [We Saw the Sea, basedInFilmSetting, U.S. Navy context]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInFilmSetting Context triple: [We Saw the Sea, basedInFilmSetting, U.S. Navy context]
-
A.
basedInFilm
Indicates that something (such as a character, event, or work) is situated, set, or primarily located within the context or universe of a particular film.
-
B.
portrayedInSetting
Indicates that an entity is depicted or represented within a particular setting, environment, or context.
-
C.
filmSetting
chosen
Indicates the place, time, or environment in which the events of a film are set or take place.
-
D.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
E.
placeOfShooting
Indicates the location where a shooting event took place.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c99ee0481908ead5f7112117c90 |
completed | April 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b5d40c8190850ad7a351445f32 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:16 p.m.