Triple
T17544331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Animals Distract Me |
E427284
|
entity |
| Predicate | relatedWork |
P37
|
FINISHED |
| Object | Seduce Me |
—
|
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: Seduce Me | Statement: [Animals Distract Me, relatedWork, Seduce Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seduce Me Context triple: [Animals Distract Me, relatedWork, Seduce Me]
-
A.
Seduce Me
Seduce Me is a popular hit single by Tanzanian singer Ali Kiba, known for its catchy Bongo Flava style and romantic lyrics.
-
B.
Seduce Me
chosen
Seduce Me is a short film series created by Isabella Rossellini that explores the mating rituals and sexual behaviors of various animals through stylized, educational, and often humorous live-action performances.
-
C.
Seduces Me
"Seduces Me" is a romantic pop ballad by Celine Dion featured on her 1996 album "Falling into You."
-
D.
Siduction
Siduction is a Linux distribution derived from Debian, known for its rolling-release model and focus on providing an up-to-date, user-friendly desktop environment.
-
E.
Tempted
"Tempted" is a country music album by American singer-songwriter Marty Stuart, known for its blend of traditional country and rockabilly influences.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454609bdc8190b81b362906e7e3fd |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:49 a.m.