Triple
T20863406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pushover |
E513682
|
entity |
| Predicate | hasTheme |
P261
|
FINISHED |
| Object | fatal attraction |
—
|
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: fatal attraction | Statement: [Pushover, hasTheme, fatal attraction]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: fatal attraction Context triple: [Pushover, hasTheme, fatal attraction]
-
A.
fatal attraction
chosen
Fatal attraction is an intense, obsessive romantic or sexual fixation that drives a person toward destructive, often violent behavior and tragic outcomes.
-
B.
Fatal Attractions
Fatal Attractions is a major 1993 X-Men crossover storyline in Marvel Comics, best known for Magneto ripping the adamantium from Wolverine’s skeleton and its lasting impact on the mutant universe.
-
C.
Fatal Attraction
Fatal Attraction is a 1987 psychological thriller film about a married man's affair that spirals into violent obsession, starring Michael Douglas and Glenn Close.
-
D.
Foetal Attraction
Foetal Attraction is a humorous, feminist novel by Australian author Kathy Lette that satirically explores pregnancy, relationships, and modern womanhood.
-
E.
Entrange
Entrange is a small commune in the Moselle department of northeastern France, situated near the borders with Luxembourg and Germany.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c45d2ec4819098abbb901b9fcd87 |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:44 p.m.