Triple
T9914878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Gabin |
E185842
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jean Gabin |
E185842
|
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: Jean Gabin | Statement: [Jean Gabin, name, Jean Gabin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Gabin Context triple: [Jean Gabin, name, Jean Gabin]
-
A.
Jean Gabin
chosen
Jean Gabin was a legendary French film actor renowned for his roles in classic 1930s–1960s cinema and as an icon of poetic realism.
-
B.
Pierre Fresnay
Pierre Fresnay was a prominent French stage and film actor known for his refined performances in classics such as "Marius" and "La Grande Illusion."
-
C.
Joseph Noiret
Joseph Noiret was a Belgian poet, painter, and art critic best known as a founding figure of the postwar avant-garde COBRA movement.
-
D.
Louis de Funès
Louis de Funès was a celebrated French comic actor renowned for his hyperactive energy, expressive face, and starring roles in numerous popular comedies from the 1950s to the 1970s.
-
E.
Louis Jourdan
Louis Jourdan was a French film and television actor best known for his suave, sophisticated roles in Hollywood productions such as "Gigi" and "Octopussy."
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53ba1ac8190ba655133b81596d7 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20dd82edc8190b405a3969864af77 |
completed | April 5, 2026, 7:23 a.m. |
Created at: March 30, 2026, 8:41 p.m.