Triple
T16453665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthews |
E399617
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Mattison |
E728995
|
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: Mattison | Statement: [Matthews, hasVariant, Mattison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mattison Context triple: [Matthews, hasVariant, Mattison]
-
A.
Matteson
Matteson is an English-language surname borne by various notable individuals, including American politician Joel Aldrich Matteson.
-
B.
Mattye
Mattye is a feminine given name derived from the masculine name Matthew.
-
C.
Masonn
Masonn is a given name variant of Mason, typically used as a modern or stylistic alternative spelling.
-
D.
Mathieson
chosen
Mathieson is a surname of Scottish origin, typically regarded as a variant of Matheson and derived from a patronymic meaning “son of Matthew.”
-
E.
Mason
Mason is the central protagonist of the work "Vicious," around whom the story’s main conflicts and developments revolve.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ce259d88190803930051409d72c |
completed | April 18, 2026, 7:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f4e31a08190b121d0cfe2a406c2 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.