Triple
T5531581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damage (1992 film) |
E145060
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Leslie Caron |
E46776
|
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: Leslie Caron | Statement: [Damage (1992 film), starring, Leslie Caron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leslie Caron Context triple: [Damage (1992 film), starring, Leslie Caron]
-
A.
Leslie Caron
chosen
Leslie Caron is a French-American actress and dancer best known for her roles in classic Hollywood musicals such as "An American in Paris" and "Gigi."
-
B.
Hélène Brion
Hélène Brion was a French feminist, pacifist, and trade unionist known for her activism during and after World War I.
-
C.
Nina Foch
Nina Foch was a Dutch-born American actress known for her poised, often aristocratic roles in classic Hollywood films and for her work as a respected acting teacher.
-
D.
Violette Nozière
Violette Nozière is a 1978 French crime drama film by Claude Chabrol that recounts the true story of a notorious 1930s French parricide case.
-
E.
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.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f9d17ec8190b93b12931a4c1b33 |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02805a174819096cd16f2c1ef2eb1 |
completed | March 22, 2026, 5:33 p.m. |
Created at: March 22, 2026, 3:34 p.m.