Triple
T22689062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyson |
E560997
|
entity |
| Predicate | notableBearerGivenName |
P16531
|
FINISHED |
| Object | Tyson Kidd |
—
|
NE NERFINISHED |
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: Tyson Kidd | Statement: [Tyson, notableBearerGivenName, Tyson Kidd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyson Kidd Context triple: [Tyson, notableBearerGivenName, Tyson Kidd]
-
A.
Tyson Kidd
chosen
Tyson Kidd is a Canadian professional wrestler best known for his time in WWE as a technically skilled in-ring performer and member of the Hart family wrestling lineage.
-
B.
Tyrus Kitt
Tyrus Kitt is a stoic and highly competent enforcer and security specialist who works as one of Gustavo Fring’s most trusted henchmen in the Breaking Bad universe.
-
C.
Tyson Griffin
Tyson Griffin is an American mixed martial artist best known for his action-packed bouts in the UFC’s lightweight division.
-
D.
Richard Tyson
Richard Tyson is an American actor best known for playing the menacing villain Cullen Crisp in the action-comedy film "Kindergarten Cop."
-
E.
Terius Nash
Terius Nash, better known by his stage name The-Dream, is an American singer, songwriter, and record producer renowned for crafting numerous contemporary R&B and pop hits.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789931148190925ce9038c16413b |
completed | April 29, 2026, 3:18 a.m. |
Created at: April 17, 2026, 3:13 p.m.