Triple
T8981441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rod Gilbert |
E214538
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Rodrigue |
E214538
|
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: Rodrigue | Statement: [Rod Gilbert, givenName, Rodrigue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodrigue Context triple: [Rod Gilbert, givenName, Rodrigue]
-
A.
Rodrigue
chosen
Rodrigue is the French given name of Rod Gilbert, a famed Canadian professional ice hockey player and Hall of Famer.
-
B.
Lucien
Lucien is a masculine given name of Latin origin, historically associated with figures such as Lucien Bonaparte, the brother of Napoleon Bonaparte.
-
C.
La Hire
La Hire was a renowned French military captain and close companion of Joan of Arc during the Hundred Years' War, noted for his fierce bravery and key role in several major victories.
-
D.
Manceau
Manceau is the French term used to refer to an inhabitant or native of the city of Le Mans.
-
E.
Ambroise
Ambroise is a modern digital revival of classic Didone-style typefaces, characterized by high contrast between thick and thin strokes and elegant, refined letterforms.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a76f748190a4abad5d53d58fa8 |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0b3ce0c81908a7b4297e0867cc9 |
completed | April 3, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:03 p.m.