Triple
T17341369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Combs |
E421073
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Combes |
E796247
|
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: Combes | Statement: [Combs, hasVariant, Combes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Combes Context triple: [Combs, hasVariant, Combes]
-
A.
Combes
chosen
Combes is the maiden surname of American actress Barbara Billingsley, best known for her role as June Cleaver on the classic TV series "Leave It to Beaver."
-
B.
Les Combes
Les Combes is a well-known high-speed chicane complex on the Spa-Francorchamps racing circuit in Belgium, challenging drivers with heavy braking and rapid direction changes.
-
C.
Cazeneuve
Cazeneuve is a French surname most notably borne by Bernard Cazeneuve, a prominent French politician and former Prime Minister of France.
-
D.
Cambon
Cambon is a French surname most notably associated with influential diplomats and politicians such as Paul Cambon.
-
E.
Boucicaut
Boucicaut is a station on the Paris Métro serving the 15th arrondissement of 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a15f6488190ad7d489e7391ab12 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c588a7081909ab108cb4adfedfe |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:44 a.m.