Triple
T8897583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Bedivere |
E211843
|
entity |
| Predicate | nameVariant |
P744
|
FINISHED |
| Object | Bedevere |
E345575
|
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: Bedevere | Statement: [Sir Bedivere, nameVariant, Bedevere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bedevere Context triple: [Sir Bedivere, nameVariant, Bedevere]
-
A.
Bedevere
chosen
Bedevere is a knight of the Round Table in Arthurian legend, often depicted as one of King Arthur’s most loyal companions and the one who returns Excalibur to the Lady of the Lake.
-
B.
Hallidie
Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
-
C.
Beasts
Beasts is a 1976 British television horror anthology series created and written by Nigel Kneale, known for its unsettling, creature-themed standalone stories.
-
D.
Meads
Meads is a surname most notably associated with New Zealand rugby legend Colin Meads.
-
E.
Beast
Beast is a thriller novel by Peter Benchley that centers on a deadly giant squid terrorizing a coastal community.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6424a8c08190aef2aa2079dd85f1 |
completed | April 1, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfac093034819085d8fb1832ec5d73 |
completed | April 3, 2026, 12:01 p.m. |
Created at: March 30, 2026, 6:54 p.m.