Triple
T18902791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tongues of Serpents |
E462376
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Iskierka |
—
|
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: Iskierka | Statement: [Tongues of Serpents, hasCharacter, Iskierka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iskierka Context triple: [Tongues of Serpents, hasCharacter, Iskierka]
-
A.
Iskierka
chosen
Iskierka is a fiery and headstrong dragon from Naomi Novik’s Temeraire fantasy series, known for her aggressive temperament and formidable combat abilities.
-
B.
Skałka
Skałka is a dramatic work by Polish playwright and artist Stanisław Wyspiański, inspired by the historic Skałka church in Kraków and its national-symbolic significance.
-
C.
Iskrets
Iskrets is a small village in western Bulgaria, notable as the birthplace of French-Bulgarian singer and actress Sylvie Vartan.
-
D.
Niska
Niska is a French rapper known for his energetic trap-influenced style, inventive slang, and hit tracks that have significantly impacted the Francophone hip-hop scene.
-
E.
Niska
Niska is an alternative name for the Nisga’a language, an Indigenous language spoken by the Nisga’a people of northwestern British Columbia, Canada.
- 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.