Triple
T29126640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Survivor: Samoa |
E738246
|
entity |
| Predicate | openingLocationShot |
P72620
|
FINISHED |
| Object | Samoan coastline |
—
|
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: Samoan coastline | Statement: [Survivor: Samoa, openingLocationShot, Samoan coastline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingLocationShot Context triple: [Survivor: Samoa, openingLocationShot, Samoan coastline]
-
A.
openingSceneTime
Indicates the specific time at which the opening scene of a work (e.g., film, play, or episode) takes place within its narrative.
-
B.
openingTrackOfFilm
Indicates that a musical track serves as the first or introductory piece in the soundtrack of a specified film.
-
C.
placeOfShooting
chosen
Indicates the location where a shooting event took place.
-
D.
shotOn
Indicates that one entity fired or took a shot at another entity, typically in a sports or combat context.
-
E.
openingStage
Indicates the initial phase or first part of a process, event, or sequence in which subsequent stages will follow.
- 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_69f07cb29cdc8190afa55444553de60c |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 28, 2026, 11:29 a.m.