Triple
T22461698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Ricard |
E555244
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Ricard brand |
—
|
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: Ricard brand | Statement: [Paul Ricard, notableWork, Ricard brand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ricard brand Context triple: [Paul Ricard, notableWork, Ricard brand]
-
A.
Ricarte
Ricarte is a Filipino surname most notably associated with Artemio Ricarte, a prominent revolutionary leader in the Philippine struggle against Spanish and American colonial rule.
-
B.
Ricard
Ricard is the Catalan given name of Spanish professional basketball player Ricky Rubio.
-
C.
Ricard
chosen
Ricard is a popular French pastis brand of anise-flavored apéritif, widely associated with Mediterranean drinking culture.
-
D.
The Brand
"The Brand" is one of the nonfiction essays in David Grann’s collection *The Devil and Sherlock Holmes*, likely focusing on a gripping real-world mystery or crime investigation.
-
E.
Brandt
Brandt is a German surname borne by numerous notable individuals across fields such as politics, science, and the arts.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7f74948190beaf6ea24ba29276 |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.