Triple
T22977779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saïd Ben Saïd |
E571371
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | Passion |
—
|
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: Passion | Statement: [Saïd Ben Saïd, produced, Passion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Passion Context triple: [Saïd Ben Saïd, produced, Passion]
-
A.
Passion
Passion is a 1994 Stephen Sondheim musical known for its intense exploration of obsessive love and emotional vulnerability.
-
B.
Passion
chosen
Passion is a psychological thriller film directed by Brian De Palma, known for its stylized exploration of rivalry, manipulation, and murder in a corporate setting.
-
C.
Passion
Passion is a 1993 R&B and soul album by American singer Regina Belle that showcases her smooth vocal style and romantic ballads.
-
D.
Love
"Love" is a minimalist, introspective song by John Lennon from his 1970 solo album "John Lennon/Plastic Ono Band," known for its sparse arrangement and tender meditation on the nature of love.
-
E.
Love
Love is an American professional basketball player known for his elite rebounding, three-point shooting, and key role in the Cleveland Cavaliers’ 2016 NBA championship.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18292f3788190ab4e9d559e0070c8 |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.