Triple
T5444995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vercelli Book |
E122226
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Elene |
E503415
|
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: Elene | Statement: [Vercelli Book, contains, Elene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elene Context triple: [Vercelli Book, contains, Elene]
-
A.
Elene
chosen
Elene is an Old English religious poem traditionally attributed to Cynewulf that recounts the legendary discovery of the True Cross by Saint Helena, mother of Emperor Constantine.
-
B.
Éliante
Éliante is a thoughtful and moderate young woman in Molière’s play *Le Misanthrope*, often seen as the voice of reason and a foil to the more extreme characters.
-
C.
Corinna
Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
-
D.
Sorsha
Sorsha is a warrior princess from the fantasy film "Willow" who initially serves her evil mother Queen Bavmorda before ultimately turning against her.
-
E.
Elissar
Elissar is the legendary Phoenician queen and founder of the ancient city of Carthage, often identified with the figure of Dido in classical mythology.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91ce3e4081908e11a731416c0378 |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4132bcf08190af2ca506a40fb26e |
completed | March 22, 2026, 1:09 a.m. |
Created at: March 20, 2026, 2:07 p.m.