Triple
T9965726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villiers de l’Isle-Adam |
E195678
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Axël |
E616164
|
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: Axël | Statement: [Villiers de l’Isle-Adam, notableWork, Axël]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Axël Context triple: [Villiers de l’Isle-Adam, notableWork, Axël]
-
A.
Axël
chosen
Axël is a seminal Symbolist drama by French writer Villiers de l'Isle-Adam, noted for its philosophical depth, decadent atmosphere, and rejection of bourgeois values.
-
B.
Anton
Anton is a masculine given name of Latin origin, commonly used in various European and Slavic countries.
-
C.
Camillo
Camillo was the birth name of Pope Paul V, the 17th-century head of the Catholic Church and ruler of the Papal States.
-
D.
Camillo
Camillo is a loyal Sicilian courtier whose moral integrity and pivotal decisions drive key turns in the plot of the opera "The Winter’s Tale," adapted from Shakespeare’s play.
-
E.
Anatole
Anatole is the famously temperamental and gifted French chef employed by Aunt Dahlia in P. G. Wodehouse’s Jeeves and Wooster stories.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71c38488190a6f3cda11994f6a2 |
completed | April 2, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23da2d7988190b8603ddb151996d9 |
completed | April 5, 2026, 10:46 a.m. |
Created at: March 30, 2026, 8:47 p.m.