Triple
T5765141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ka |
E127192
|
entity |
| Predicate | attestedByScholar |
P21690
|
FINISHED |
| Object | Toby Wilkinson |
E165679
|
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: Toby Wilkinson | Statement: [Ka, attestedByScholar, Toby Wilkinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toby Wilkinson Context triple: [Ka, attestedByScholar, Toby Wilkinson]
-
A.
Toby Wilkinson
chosen
Toby Wilkinson is a British Egyptologist and historian known for his influential works on ancient Egyptian civilization and its political and cultural history.
-
B.
Toby Rowland
Toby Rowland is a tech entrepreneur best known as a co-founder of the mobile gaming company behind the hit game Candy Crush Saga.
-
C.
Toby Irvine
Toby Irvine is a British actor known for playing the younger version of the main character, Pip, in the 2012 film adaptation of "Great Expectations."
-
D.
Toby Halbrooks
Toby Halbrooks is an American filmmaker and screenwriter known for his frequent collaborations with director David Lowery on independent and studio films.
-
E.
Jeremy Theobald
Jeremy Theobald is a British actor best known for starring in Christopher Nolan’s debut feature film "Following."
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0335f23c081909b35020801e3ef12 |
completed | March 22, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e59c2d0819091101dea300e1d7e |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:49 p.m.