Triple
T18244978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stellar Wind |
E436925
|
entity |
| Predicate | competedAgainst |
P1375
|
FINISHED |
| Object | Beholder |
—
|
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: Beholder | Statement: [Stellar Wind, competedAgainst, Beholder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beholder Context triple: [Stellar Wind, competedAgainst, Beholder]
-
A.
Beholder
chosen
Beholder is a champion American Thoroughbred racehorse, renowned for multiple Eclipse Awards and major stakes victories including three Breeders’ Cup wins.
-
B.
Thargelion
Thargelion was a spring month in the ancient Attic calendar, roughly corresponding to parts of May and June in the modern Gregorian calendar.
-
C.
Thargelion
Thargelion is a region in J.R.R. Tolkien’s Middle-earth, located in eastern Beleriand and associated with the realm of the Elf-lord Caranthir.
-
D.
Vermithor
Vermithor is a powerful and ancient dragon from George R. R. Martin’s Targaryen history, famed for its role in the civil war known as the Dance of the Dragons.
-
E.
Tarasque
The Tarasque is a legendary dragon-like monster from Provençal folklore, famously tamed by Saint Martha and associated with the town of Tarascon in southern France.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e6fbac8190bf252c4337f50c29 |
completed | April 19, 2026, 3:42 p.m. |
Created at: April 10, 2026, 10:33 a.m.