Triple
T9846164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Vadim |
E239346
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Barbarella |
E420836
|
NE 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: Barbarella | Statement: [Roger Vadim, notableWork, Barbarella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbarella Context triple: [Roger Vadim, notableWork, Barbarella]
-
A.
Barbarella
chosen
Barbarella is a 1968 cult science fiction film starring Jane Fonda, known for its campy, erotic space adventure style and iconic visual design.
-
B.
Spaceballs
Spaceballs is a 1987 Mel Brooks science-fiction parody film that satirizes Star Wars and other popular space operas.
-
C.
Pussy Galore
Pussy Galore is a memorable Bond girl and skilled pilot who leads an all-female flying squadron in the James Bond film "Goldfinger."
-
D.
Pussy Galore
Pussy Galore was an influential American noise rock and garage punk band from the 1980s underground scene, known for its abrasive sound and confrontational style.
-
E.
Freaks
"Freaks" is a high-energy electronic dance track by Australian DJ and producer Timmy Trumpet, widely recognized for its catchy horn melody and popularity in clubs and festivals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb36156308190b26892702f3b41e0 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e42edd98819092d07139890d83e4 |
completed | April 5, 2026, 4:25 a.m. |
Created at: March 30, 2026, 8:34 p.m.