Triple
T13488185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikabrik |
E318559
|
entity |
| Predicate | contrastsWith |
P278
|
FINISHED |
| Object | Trufflehunter |
E1043639
|
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: Trufflehunter | Statement: [Nikabrik, contrastsWith, Trufflehunter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trufflehunter Context triple: [Nikabrik, contrastsWith, Trufflehunter]
-
A.
Trufflehunter
chosen
Trufflehunter is a loyal and courageous talking badger from C.S. Lewis's Chronicles of Narnia, known for his steadfast faith in Aslan and support of Prince Caspian.
-
B.
Truffles
Truffles is a loud, short-tempered elderly woman who runs the catering business in the animated series "Chowder," often bossing around the other characters with her abrasive personality.
-
C.
Otricoli
Otricoli is a historic hilltop town in central Italy’s Umbria region, known for its ancient Roman archaeological remains and scenic position overlooking the Tiber River.
-
D.
Al d’Ossché
Al d’Ossché is a notable musician recognized for his influential performances and contributions to the tradition of Appalachian dulcimer music.
-
E.
Mushroom City
Mushroom City is an urban-themed race course in the Mario Kart series, featuring nighttime streets, traffic, and multiple branching routes.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3b9b488190bb4e11424ff599c8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75483a6f88190b3815fb8d97e65e4 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:42 p.m.