Triple
T18901971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xanth |
E462358
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Dragon on a Pedestal |
—
|
NE NERFINISHED |
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: Dragon on a Pedestal | Statement: [Xanth, hasPart, Dragon on a Pedestal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dragon on a Pedestal Context triple: [Xanth, hasPart, Dragon on a Pedestal]
-
A.
Dragon on a Pedestal
chosen
"Dragon on a Pedestal" is a fantasy novel by Piers Anthony set in his pun-filled magical land of Xanth, following the adventures surrounding a young princess and a dangerous forgetfulness spell.
-
B.
The Dragon
The Dragon is the legendary Chinese table tennis player Ma Long, widely regarded as one of the greatest and most dominant players in the sport’s history.
-
C.
The Dragon
The Dragon is a prominent mountain peak in Tasmania’s remote Frankland Range, known for its rugged terrain and challenging access for experienced bushwalkers and climbers.
-
D.
The Dragon
The Dragon is a renowned martial arts school known for its rigorous training and emphasis on traditional fighting techniques.
-
E.
The Dragon
"The Dragon" is a track from Vangelis's 1979 electronic music album "China," blending synthesizer-driven soundscapes with an evocative, atmospheric style.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52a4b4c8190b5821996e3c1741d |
completed | April 20, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:58 a.m.