Triple
T18260858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Goulet |
E437349
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Goulet |
—
|
NE NERFINISHED |
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: Goulet | Statement: [Robert Goulet, familyName, Goulet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goulet Context triple: [Robert Goulet, familyName, Goulet]
-
A.
Goulet
chosen
Goulet is a French-origin surname borne by various notable individuals in fields such as politics, arts, and sports.
-
B.
Choully
Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
-
C.
Surpierre
Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
-
D.
Choulex
Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
-
E.
Baruchel
Baruchel is the surname of Canadian actor, comedian, and filmmaker Jay Baruchel, known for roles in films like "How to Train Your Dragon" and "This Is the End."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff7591b4819083f2b29d60298747 |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.