Triple
T9914903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Gabin |
E185842
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Le Président
Le Président is a 1961 French political drama film starring Jean Gabin as an aging former prime minister confronting corruption and his own legacy.
|
E829733
|
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: Le Président | Statement: [Jean Gabin, notableWork, Le Président]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Président Context triple: [Jean Gabin, notableWork, Le Président]
-
A.
Mr. President
"Mr. President" is the formal style of address used for the head of state of the Russian Federation.
-
B.
Mr. President
"Mr. President" is the formal style of address used for the head of state of Austria.
-
C.
Mr. President
"Mr. President" is the formal style of address used for the presiding officer of the Chamber of Deputies.
-
D.
Mr. President
Mr. President is the formal style of address used for the head of state of Algeria.
-
E.
Mr. President
"Mr. President" is the formal style of address used for the presiding officer of the Massachusetts Senate.
- 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: Le Président Triple: [Jean Gabin, notableWork, Le Président]
Generated description
Le Président is a 1961 French political drama film starring Jean Gabin as an aging former prime minister confronting corruption and his own legacy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Le Président Target entity description: Le Président is a 1961 French political drama film starring Jean Gabin as an aging former prime minister confronting corruption and his own legacy.
-
A.
Mr. President
"Mr. President" is the formal style of address used for the head of state of the Russian Federation.
-
B.
Mr. President
"Mr. President" is the formal style of address used for the head of state of Austria.
-
C.
Mr. President
"Mr. President" is the formal style of address used for the presiding officer of the Chamber of Deputies.
-
D.
Mr. President
Mr. President is the formal style of address used for the head of state of Algeria.
-
E.
Mr. President
"Mr. President" is the formal style of address used for the presiding officer of the Massachusetts Senate.
- 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_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. |
| NEDg | Description generation | batch_69d20ed1f69c819099faa881a9a4368d |
completed | April 5, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d212e3b864819092b8464f5a5ab696 |
completed | April 5, 2026, 7:44 a.m. |
Created at: March 30, 2026, 8:41 p.m.