Triple
T8492218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mule |
E200999
|
entity |
| Predicate | defeatedBy |
P11263
|
FINISHED |
| Object | Bayta Darell |
E205689
|
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: Bayta Darell | Statement: [The Mule, defeatedBy, Bayta Darell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayta Darell Context triple: [The Mule, defeatedBy, Bayta Darell]
-
A.
Bayta Darell
chosen
Bayta Darell is a pivotal character in Isaac Asimov's Foundation series, known for her crucial role in thwarting the Mule's conquest in "Foundation and Empire."
-
B.
Zarité Sedella
Zarité Sedella is the enslaved Haitian woman of mixed African and Indigenous descent whose life, resilience, and quest for freedom drive the narrative of Isabel Allende’s historical novel "Island Beneath the Sea."
-
C.
Torhi Harper
Torhi Harper is the birth name of Murphy Lee, an American rapper best known as a member of St. Lunatics and for his work with Nelly.
-
D.
Lara Breay
Lara Breay is a film producer best known for her work on the animated superhero comedy "Megamind."
-
E.
Meeka Joffer
Meeka Joffer is a royal princess and the ambitious, modern-minded daughter of Prince Akeem in the comedy film "Coming 2 America."
- 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_69ce3a5c260c8190bc7012a04363d260 |
completed | April 2, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:13 p.m.