Triple
T33199627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satrangi Re |
E849862
|
entity |
| Predicate | hasRomanticImagery |
P143103
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Satrangi Re, hasRomanticImagery, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRomanticImagery Context triple: [Satrangi Re, hasRomanticImagery, yes]
-
A.
hasRomanticSceneAt
Indicates that a romantic scene occurs at a specific location or point in time within a work or context.
-
B.
hasRomanticPlotline
Indicates that there is a romantic storyline or relationship development present between the entities.
-
C.
includesRomanticCues
chosen
Indicates that the referenced content, behavior, or interaction contains elements suggestive of romantic interest, affection, or attraction between entities.
-
D.
hasRomanticSubplot
Indicates that a work includes a secondary storyline centered on a romantic relationship between characters.
-
E.
isAssociatedWithChildhoodImagery
Indicates a relationship where something is linked to, evokes, or prominently features imagery commonly connected with childhood.
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: May 1, 2026, 1:29 a.m.