Triple
T10226498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Théoden (film character) |
E243216
|
entity |
| Predicate | mount |
P18930
|
FINISHED |
| Object | Snowmane |
E850664
|
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: Snowmane | Statement: [King Théoden (film character), mount, Snowmane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowmane Context triple: [King Théoden (film character), mount, Snowmane]
-
A.
Snowmane
chosen
Snowmane is the noble warhorse of King Théoden of Rohan in J.R.R. Tolkien’s The Lord of the Rings, famed for bearing him in the Battle of the Pelennor Fields.
-
B.
Jack Snow
Jack Snow was an American writer best known for continuing L. Frank Baum’s Oz series with additional novels and stories.
-
C.
Balnibarbi
Balnibarbi is a fictional country in Jonathan Swift's satirical novel "Gulliver's Travels," known for its absurd scientific experiments and mismanaged society.
-
D.
Frosta
Frosta is a rural municipality and peninsula in Trøndelag county, Norway, known for its fertile farmland and historical significance as a medieval assembly site.
-
E.
Alpengeist
Alpengeist is a high-speed, inverted steel roller coaster at Busch Gardens Williamsburg themed around a runaway ski lift in the Alps.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f71fb4048190a36f1fe499729332 |
completed | April 9, 2026, 12:47 a.m. |
Created at: April 6, 2026, 11:17 a.m.