Triple
T16552280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Witch in the Wood |
E402100
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Agravain |
E278677
|
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: Agravain | Statement: [The Witch in the Wood, mainCharacter, Agravain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agravain Context triple: [The Witch in the Wood, mainCharacter, Agravain]
-
A.
Agravain
chosen
Agravain is a knight of the Round Table in Arthurian legend, known as one of Gawain’s brothers and often portrayed as treacherous or antagonistic.
-
B.
Sir Cei
Sir Cei is a loyal and formidable knight who serves as a key ally to the protagonist in the Spellmonger fantasy series.
-
C.
Sir Gaheris
Sir Gaheris is a knight of the Round Table in Arthurian legend, a member of the Orkney clan and brother to Gawain, Gareth, and Agravain.
-
D.
Lancelot Heath
Lancelot Heath is an individual notable enough to be recognized as a prominent bearer of the surname Heath.
-
E.
Æschere
Æschere is a trusted advisor and close companion of King Hrothgar in the Old English epic Beowulf, whose death at the hands of Grendel’s mother spurs Beowulf’s vengeful pursuit.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc6735481908b59bbf80fb3469b |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b87b608190950b8f14e6aceed3 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.