Triple
T13472743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Springer |
E318169
|
entity |
| Predicate | createdCharacter |
P2004
|
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: [Nancy Springer, createdCharacter, Mordred]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mordred Context triple: [Nancy Springer, createdCharacter, 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.
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.
-
E.
Sir Galahad
Sir Galahad is a legendary knight of Arthurian romance renowned for his purity and for achieving the Holy Grail.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf2447bc81908baf1f4b55095144 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7462d97688190b5b817fff5973ceb |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.