Triple
T8897661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrétien de Troyes' Arthurian romances |
E211845
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Enide |
E195290
|
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: Enide | Statement: [Chrétien de Troyes' Arthurian romances, mainCharacter, Enide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enide Context triple: [Chrétien de Troyes' Arthurian romances, mainCharacter, Enide]
-
A.
Enide
chosen
Enide is a heroine of Arthurian romance, best known as the loyal and courageous wife of the knight Erec in medieval French literature.
-
B.
Cleeia
Cleeia is a lesser-known figure in Greek mythology, identified as a daughter of the Titan Atlas and thus part of the extended divine family associated with the heavens.
-
C.
Enodia
Enodia is an epithet of the Greek goddess Hecate that emphasizes her role as a protector and guide along roads, thresholds, and liminal spaces.
-
D.
Desariee
Desariee is the given first name of American actress Scout Taylor-Compton, known for her roles in horror films such as the "Halloween" remakes.
-
E.
Ennesi
Ennesi are the inhabitants or natives of the city of Enna in central Sicily, Italy.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6424a8c08190aef2aa2079dd85f1 |
completed | April 1, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba212fd081909ae87853c81e1d30 |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:54 p.m.