Triple
T14074979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dangerous When Wet |
E338707
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Denise Darcel |
E765365
|
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: Denise Darcel | Statement: [Dangerous When Wet, starring, Denise Darcel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denise Darcel Context triple: [Dangerous When Wet, starring, Denise Darcel]
-
A.
Denise Darcel
chosen
Denise Darcel was a French-born actress and singer best known for her roles in 1950s Hollywood films and her sultry, glamorous screen presence.
-
B.
Françoise Rosay
Françoise Rosay was a prominent French stage and film actress known for her powerful character roles in European cinema from the 1920s through the 1950s.
-
C.
Claudine Denosse
Claudine Denosse was the wife of the prominent 16th-century Reformed theologian and Calvinist leader Theodore Beza.
-
D.
Françoise Brion
Françoise Brion is a French actress known for her work in European cinema from the 1960s onward, including collaborations with prominent auteurs.
-
E.
Mireille Darc
Mireille Darc was a prominent French actress and model, best known for her roles in 1960s–1970s French cinema and her collaborations with director Georges Lautner.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5bc49881909012b66fa451f495 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd54fc136881908f0ff5cafa604811 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 9, 2026, 10:21 p.m.