Triple
T28954456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Survivor: San Juan del Sur |
E731115
|
entity |
| Predicate | seasonTheme |
P28003
|
FINISHED |
| Object | Blood vs. Water |
—
|
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: Blood vs. Water | Statement: [Survivor: San Juan del Sur, seasonTheme, Blood vs. Water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonTheme Context triple: [Survivor: San Juan del Sur, seasonTheme, Blood vs. Water]
-
A.
season
Indicates that an entity participates in, is associated with, or occurs during a particular season or seasonal period.
-
B.
hasSeasonTheme
chosen
Indicates that something is associated with or characterized by a particular seasonal theme.
-
C.
seasonCycle
Indicates a recurring pattern or sequence of seasons or seasonal phases that repeat over time.
-
D.
seasonFeatured
Indicates that a particular season is highlighted, promoted, or given special prominence in relation to another entity (such as a series, platform, or collection).
-
E.
seasonAfter
Indicates that one season occurs chronologically immediately after another season in a sequence.
- 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_69f043eb9bcc819091ac7b07aecb6475 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: April 28, 2026, 8:46 a.m.