Triple
T8626361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Karina |
E204288
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Daniel Duval
Daniel Duval was a French actor, director, and screenwriter known for his gritty, socially conscious films and performances in French cinema.
|
E747620
|
NE FINISHED |
How this triple was built (4 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: Daniel Duval | Statement: [Anna Karina, spouse, Daniel Duval]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Duval Context triple: [Anna Karina, spouse, Daniel Duval]
-
A.
Charlie Crawford
Charlie Crawford is a central character on the sitcom "Spin City," serving as the savvy and often beleaguered deputy mayor navigating New York City's political chaos.
-
B.
Rosario Robles
Rosario Robles is a Mexican politician who has held prominent cabinet positions and served as Mexico City’s first female mayor.
-
C.
Ryan Ochoa
Ryan Ochoa is an American actor best known for his roles on Disney XD’s "Pair of Kings" and the Nickelodeon series "iCarly."
-
D.
Pablo González
Pablo González is an editor known for his work on the film "Tideland."
-
E.
Guillermo Navarro
Guillermo Navarro is an acclaimed Mexican cinematographer known for his visually striking work on films such as "Pan’s Labyrinth," "Pacific Rim," and collaborations with directors like Guillermo del Toro.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Daniel Duval Triple: [Anna Karina, spouse, Daniel Duval]
Generated description
Daniel Duval was a French actor, director, and screenwriter known for his gritty, socially conscious films and performances in French cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Duval Target entity description: Daniel Duval was a French actor, director, and screenwriter known for his gritty, socially conscious films and performances in French cinema.
-
A.
Charlie Crawford
Charlie Crawford is a central character on the sitcom "Spin City," serving as the savvy and often beleaguered deputy mayor navigating New York City's political chaos.
-
B.
Rosario Robles
Rosario Robles is a Mexican politician who has held prominent cabinet positions and served as Mexico City’s first female mayor.
-
C.
Ryan Ochoa
Ryan Ochoa is an American actor best known for his roles on Disney XD’s "Pair of Kings" and the Nickelodeon series "iCarly."
-
D.
Pablo González
Pablo González is an editor known for his work on the film "Tideland."
-
E.
Guillermo Navarro
Guillermo Navarro is an acclaimed Mexican cinematographer known for his visually striking work on films such as "Pan’s Labyrinth," "Pacific Rim," and collaborations with directors like Guillermo del Toro.
- F. None of above. chosen
Provenance (5 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc472b8fa481909f52f83ea210483e |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbf03c688190a989f16675f6e8a6 |
completed | April 2, 2026, 6:56 p.m. |
| NEDg | Description generation | batch_69cebdd3ae908190bc4108b766585cbc |
completed | April 2, 2026, 7:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebf1825008190a97cd2df10f8e406 |
completed | April 2, 2026, 7:10 p.m. |
Created at: March 30, 2026, 6:26 p.m.