Triple
T4286304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willow Ufgood |
E97276
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Queen Bavmorda |
E86510
|
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: Queen Bavmorda | Statement: [Willow Ufgood, enemy, Queen Bavmorda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen Bavmorda Context triple: [Willow Ufgood, enemy, Queen Bavmorda]
-
A.
Queen Bavmorda
chosen
Queen Bavmorda is the ruthless and power-hungry sorceress-queen who serves as the primary villain in the fantasy film "Willow."
-
B.
Queen Ramonda
Queen Ramonda is a regal Wakandan matriarch and mother of T’Challa in Marvel’s Black Panther franchise.
-
C.
Queen Red
Queen Red was one of the designated assault sub-sectors of Sword Beach used by Allied forces during the D-Day landings in World War II.
-
D.
Princess Batcheat
Princess Batcheat is a comically melodramatic and off-key royal figure in Salman Rushdie’s novel "Haroun and the Sea of Stories," whose kidnapping helps drive the story’s central adventure.
-
E.
Morgause
Morgause is a prominent figure in Arthurian legend, often depicted as a queen of Orkney and the mother of several of King Arthur’s nephews, including Gawain.
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3505d23d88190a638f2cc2acee9ee |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7c657b08190b96135c34622e559 |
completed | March 14, 2026, 7:32 p.m. |
Created at: March 12, 2026, 11:08 p.m.