Triple
T20078950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beau Ideal |
E499944
|
entity |
| Predicate | prequel |
P1961
|
FINISHED |
| Object | Beau Sabreur |
—
|
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: Beau Sabreur | Statement: [Beau Ideal, prequel, Beau Sabreur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beau Sabreur Context triple: [Beau Ideal, prequel, Beau Sabreur]
-
A.
Beau Sabreur
chosen
Beau Sabreur is a 1926 adventure novel by P. C. Wren that continues the French Foreign Legion exploits begun in Beau Geste, focusing on the dashing officer Major Henri de Beaujolais.
-
B.
Barbaro
Barbaro is the surname of a prominent Venetian noble family whose members played significant roles in the politics, diplomacy, and culture of the Republic of Venice.
-
C.
La Boeuf
La Boeuf is a determined Texas Ranger who teams up with Rooster Cogburn and Mattie Ross to track down an outlaw in the Western story "True Grit."
-
D.
Le Beau
Le Beau is a courtier in Shakespeare’s comedy "As You Like It," serving as a messenger and observer who reports on events at Duke Frederick’s court.
-
E.
Sire de Grugy
Sire de Grugy is a top-class British National Hunt racehorse best known as a champion two-mile chaser and winner of major Grade 1 races.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643e216c819088c002fc1de2772a |
completed | April 20, 2026, 5:37 p.m. |
Created at: April 11, 2026, 3:40 p.m.