Triple
T7901479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caesar and Cleopatra |
E183462
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Gabriel Pascal |
E700477
|
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: Gabriel Pascal | Statement: [Caesar and Cleopatra, producer, Gabriel Pascal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabriel Pascal Context triple: [Caesar and Cleopatra, producer, Gabriel Pascal]
-
A.
Gabriel Pascal
chosen
Gabriel Pascal was a Hungarian-born film producer and director best known for adapting George Bernard Shaw’s plays to the screen, including the 1945 film "Caesar and Cleopatra."
-
B.
Gabriel Le Duc
Gabriel Le Duc was a 17th-century French architect best known for his work on the Val-de-Grâce church and complex in Paris.
-
C.
Gabriel Leveque
Gabriel Leveque was an artist known for creating religious murals, including notable works in Port-au-Prince’s Holy Trinity Cathedral.
-
D.
André Pascal
André Pascal was a notable French figure, likely a politician or public servant, after whom Rue André Pascal in Paris is named.
-
E.
Hyacinthe Gariel
Hyacinthe Gariel was a 19th-century French engineer best known for designing the original Pont de l’Alma in Paris.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a3f4c2c81909ae70b0acf4729be |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdfd2dbbc8190b7b1e45b7f0b7515 |
completed | March 31, 2026, 2:53 p.m. |
Created at: March 30, 2026, 5:02 p.m.