Triple
T8666587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayta Darell |
E205689
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | 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: Toran Darell II | Statement: [Bayta Darell, relative, Toran Darell II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toran Darell II Context triple: [Bayta Darell, relative, 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.
Darek
Darek is a given name, typically a variant spelling of Derek used in various European countries.
-
C.
Trandal
Trandal is a small, scenic village in western Norway, known for its dramatic fjord landscape and location along the Hjørundfjord.
-
D.
Namir
Namir is a Hebrew surname most notably associated with Israeli politician and former Tel Aviv mayor Mordechai Namir.
-
E.
Ranon Ufgood
Ranon Ufgood is a character from the fantasy film "Willow," known as one of Willow Ufgood's children in the Nelwyn village.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48a1dd1481908c56abca48fcd562 |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf286a364c8190b7f4f9d8243e2548 |
completed | April 3, 2026, 2:39 a.m. |
Created at: March 30, 2026, 6:31 p.m.