Triple
T4286305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willow Ufgood |
E97276
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object |
General Kael
General Kael is a ruthless and fearsome warlord serving the evil Queen Bavmorda in the fantasy film "Willow."
|
E427797
|
NE FINISHED |
How this triple was built (4 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: General Kael | Statement: [Willow Ufgood, enemy, General Kael]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: General Kael Context triple: [Willow Ufgood, enemy, General Kael]
-
A.
Kayl
Kayl is a commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s steel-producing region.
-
B.
Kadan
Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
-
C.
Kenna
Kenna is an Ethiopian-American singer-songwriter and producer known for his genre-blending alternative rock and electronic music, as well as collaborations with prominent artists and producers.
-
D.
Kehler
Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
-
E.
Gaven
Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: General Kael Triple: [Willow Ufgood, enemy, General Kael]
Generated description
General Kael is a ruthless and fearsome warlord serving the evil Queen Bavmorda in the fantasy film "Willow."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: General Kael Target entity description: General Kael is a ruthless and fearsome warlord serving the evil Queen Bavmorda in the fantasy film "Willow."
-
A.
Kayl
Kayl is a commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s steel-producing region.
-
B.
Kadan
Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
-
C.
Kenna
Kenna is an Ethiopian-American singer-songwriter and producer known for his genre-blending alternative rock and electronic music, as well as collaborations with prominent artists and producers.
-
D.
Kehler
Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
-
E.
Gaven
Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69b5bba7859481909e2afe21774dc599 |
completed | March 14, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5bc5f26508190b333ec09c517f7c8 |
completed | March 14, 2026, 7:51 p.m. |
Created at: March 12, 2026, 11:08 p.m.