Triple
T23196448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Storm |
E579880
|
entity |
| Predicate | followsWork |
P9710
|
FINISHED |
| Object | Perfidia |
—
|
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: Perfidia | Statement: [This Storm, followsWork, Perfidia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perfidia Context triple: [This Storm, followsWork, Perfidia]
-
A.
Perfidia
chosen
Perfidia is a crime novel by James Ellroy that serves as a sprawling, noir prequel to his L.A. Quartet, set in Los Angeles during the days surrounding the attack on Pearl Harbor.
-
B.
Perfidia
"Perfidia" is an instrumental surf rock rendition of the classic song, popularized by the American band The Ventures.
-
C.
Treachery
Treachery is a 2013 independent drama thriller film exploring betrayal and strained family relationships, directed by Michael Biehn.
-
D.
La Traición
La Traición is a Colombian telenovela best known for featuring actress María Cecilia Botero in a prominent role.
-
E.
Betrayal
Betrayal is an American drama television series centered on an extramarital affair that spirals into a complex web of crime, loyalty, and moral conflict.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fdc0b8081909242fdc5cb1da517 |
completed | April 29, 2026, 4:58 a.m. |
Created at: April 17, 2026, 4:06 p.m.