Triple
T16552313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Candle in the Wind |
E402101
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Mordred |
E198032
|
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: Mordred | Statement: [The Candle in the Wind, mainCharacter, Mordred]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mordred Context triple: [The Candle in the Wind, mainCharacter, Mordred]
-
A.
Mordred
chosen
Mordred is a treacherous knight of Arthurian legend, best known for betraying King Arthur and fatally wounding him at the Battle of Camlann.
-
B.
Sir Bedivere
Sir Bedivere is a knight of Arthurian legend best known for returning King Arthur’s sword Excalibur to the Lady of the Lake after the Battle of Camlann.
-
C.
Agravain
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.
-
D.
Sir Cei
Sir Cei is a loyal and formidable knight who serves as a key ally to the protagonist in the Spellmonger fantasy series.
-
E.
Amfortas
Amfortas is the tormented, wounded king of the Grail in Richard Wagner’s opera "Parsifal," whose suffering drives much of the drama’s spiritual conflict.
- 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_6a006edbd8388190b9a96c1cc5c9119e |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:15 a.m.