Triple
T15946765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkady Darell |
E386704
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Dr. Toran Darell II |
E201000
|
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: Dr. Toran Darell II | Statement: [Arkady Darell, father, Dr. Toran Darell II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Toran Darell II Context triple: [Arkady Darell, father, Dr. Toran Darell II]
-
A.
Toran Darell
chosen
Toran Darell is a central character in Isaac Asimov's Foundation series, notably appearing as a key figure in the novel "Foundation and Empire."
-
B.
Krel Tarron
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.
-
C.
Tom Hallion
Tom Hallion is a veteran Major League Baseball umpire known for his long career and distinctive strike call.
-
D.
Darel
Darel is a given name, typically a variant spelling of Daryl, used for both males and females.
-
E.
Dr. Chase Meridian
Dr. Chase Meridian is a criminal psychologist and Bruce Wayne’s love interest in the 1995 superhero film "Batman Forever."
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d1a4c08190afc325491ba38870 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5c0c8a481908aa7a40bca15e38e |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.