Triple
T13458256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaston Doumergue |
E311290
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Gaston |
E231330
|
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: Gaston | Statement: [Gaston Doumergue, givenName, Gaston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaston Context triple: [Gaston Doumergue, givenName, Gaston]
-
A.
Gaston
chosen
Gaston is a masculine given name of French origin commonly used in Francophone countries and beyond.
-
B.
Gaston, Count of Eu
Gaston, Count of Eu was a French-born nobleman and military officer who became a prominent figure in Brazil’s imperial family through his marriage to Princess Isabel, the heir to the Brazilian throne.
-
C.
Gaspard
Gaspard is a French masculine given name historically borne by notable figures such as nobles, military leaders, and artists.
-
D.
Bonhomme
Bonhomme is the iconic snowman mascot and symbol of the Quebec Winter Carnival, known for his red cap, sash, and festive public appearances.
-
E.
Régis
Régis is a masculine given name of French origin, historically borne by notable figures such as the statesman Jean-Jacques-Régis de Cambacérès.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0a75008190a508060c85f73604 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739a001d08190ae5664c6670540e7 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:41 p.m.