Triple
T1906221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Arthur's Britain |
E38010
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Excalibur |
E69699
|
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: Excalibur | Statement: [King Arthur's Britain, associatedWith, Excalibur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Excalibur Context triple: [King Arthur's Britain, associatedWith, Excalibur]
-
A.
Excalibur
chosen
Excalibur is the legendary sword of King Arthur, often depicted as a symbol of divine kingship and magical power in Arthurian mythology.
-
B.
The Excalibur
The Excalibur is the knight-themed mascot representing Trent University's athletic teams and school spirit.
-
C.
King Arthur: Legend of the Sword
King Arthur: Legend of the Sword is a 2017 fantasy action film directed by Guy Ritchie that offers a gritty, stylized retelling of the Arthurian legend.
-
D.
Green Knight
The Green Knight is a mysterious, supernatural challenger in Arthurian legend whose beheading game with Sir Gawain tests the knight’s honor and courage.
-
E.
The Lady of the Lake
The Lady of the Lake is a narrative poem by Sir Walter Scott that helped popularize the romantic image of the Scottish Highlands and inspired numerous operatic and artistic adaptations.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b3217081909004ad7f687b4216 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaf944c881908c5cb54bd27d6fa9 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:35 p.m.