Triple
T21151294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Straton |
E521194
|
entity |
| Predicate | hasRoleInWork |
P161
|
FINISHED |
| Object | Alceste |
—
|
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: Alceste | Statement: [Straton, hasRoleInWork, Alceste]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alceste Context triple: [Straton, hasRoleInWork, Alceste]
-
A.
Alceste
Alceste is a character in Geoffrey Chaucer’s poem "The Legend of Good Women," often portrayed as a model of faithful, virtuous womanhood who helps frame the work’s celebration of loyal heroines.
-
B.
Alceste
chosen
Alceste is the misanthropic protagonist of Molière’s 1666 comedy "Le Misanthrope," known for his uncompromising honesty and disdain for social hypocrisy.
-
C.
Alceste
Alceste is a French Baroque opera by Jean-Baptiste Lully, known for its tragédie lyrique style and collaboration with librettist Philippe Quinault.
-
D.
Alceste
Alceste is an opera by Christoph Willibald Gluck that exemplifies his reformist approach to opera, emphasizing dramatic integrity and expressive simplicity over vocal virtuosity.
-
E.
Clitandre
Clitandre is a minor courtier in Molière’s comedy *Le Misanthrope*, serving as a foppish, gossiping foil to the more serious main characters.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72401830c8190a2008c40c4174d97 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 2:58 p.m.