Triple
T12927938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wizards: Tales of Arcadia |
E309294
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Krel Tarron |
E1011111
|
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: Krel Tarron | Statement: [Wizards: Tales of Arcadia, featuresCharacter, Krel Tarron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krel Tarron Context triple: [Wizards: Tales of Arcadia, featuresCharacter, Krel Tarron]
-
A.
Krel Tarron
chosen
Krel Tarron is a young alien prince and brilliant technologist from the animated series "3Below: Tales of Arcadia," who must adapt to life on Earth while protecting his royal legacy.
-
B.
Darel
Darel is a given name, typically a variant spelling of Daryl, used for both males and females.
-
C.
Tolian Soran
Tolian Soran is the primary antagonist in the film "Star Trek: Generations," a driven El-Aurian scientist obsessed with reentering the Nexus at any cost.
-
D.
Herb Tarlek
Herb Tarlek is a loud, tacky-suited, and comically inept advertising salesman character from the WKRP in Cincinnati television franchise.
-
E.
Trandal
Trandal is a small, scenic village in western Norway, known for its dramatic fjord landscape and location along the Hjørundfjord.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971ec72a48190aceef10630603d2c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8d58a0c8190b96252f04fdf1256 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:42 p.m.