Triple
T8492250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toran Darell |
E201000
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Darell |
E735729
|
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: Darell | Statement: [Toran Darell, hasFamilyName, Darell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darell Context triple: [Toran Darell, hasFamilyName, Darell]
-
A.
Darell
chosen
Darell is a Puerto Rican reggaeton and Latin trap singer and rapper known for his collaborations on major urban Latin hits.
-
B.
Darrell
Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
-
C.
Darryl
Darryl is a masculine given name most notably associated with influential American film producer and studio executive Darryl F. Zanuck.
-
D.
Derrick
Derrick is the given name of Derrick Rose, an American professional basketball player and former NBA MVP.
-
E.
Toran Darell
Toran Darell is a central character in Isaac Asimov's Foundation series, notably appearing as a key figure in the novel "Foundation and Empire."
- 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe55cf5dc81908cad31ac53e15b46 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d120f8c819088a1d9b23b621939 |
completed | April 2, 2026, 1:20 p.m. |
Created at: March 30, 2026, 6:13 p.m.