Triple
T6710452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Niblo |
E153124
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Camille |
E309907
|
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: Camille | Statement: [Fred Niblo, directed, Camille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camille Context triple: [Fred Niblo, directed, Camille]
-
A.
Camille
Camille is a French given name used for both males and females, historically associated with figures such as the revolutionary journalist Camille Desmoulins.
-
B.
Camille
chosen
Camille is a classic 1936 romantic drama film starring Greta Garbo as a tragic Parisian courtesan.
-
C.
Camille Roux
Camille Roux was an artist associated with the Impressionist movement who participated in the historic Impressionist exhibitions in late 19th-century France.
-
D.
Camille (The Woman in the Green Dress)
"Camille (The Woman in the Green Dress)" is an 1866 oil painting by Claude Monet portraying his future wife Camille Doncieux in an elegant, fashionable gown, notable for helping establish his early reputation in the Paris art world.
-
E.
Marguerite
Marguerite is a French given name, equivalent to Margaret, commonly used for women and also meaning "daisy" in French.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d107380481909cc761dc182834c1 |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7129620248190945b25dfda1e065e |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:06 p.m.