Triple
T22496839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew |
E556162
|
entity |
| Predicate | hasRelatedSurname |
P3889
|
FINISHED |
| Object | Mathews |
—
|
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: Mathews | Statement: [Matthew, hasRelatedSurname, Mathews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mathews Context triple: [Matthew, hasRelatedSurname, Mathews]
-
A.
Mathews
chosen
Mathews is a surname of English and Welsh origin, commonly borne by individuals in English-speaking countries.
-
B.
Matthews
Matthews is a common English-language surname borne by numerous notable individuals across sports, politics, entertainment, and other fields.
-
C.
Mathieson
Mathieson is a surname of Scottish origin, typically regarded as a variant of Matheson and derived from a patronymic meaning “son of Matthew.”
-
D.
Thomas Mathews
Thomas Mathews was an 18th-century British Royal Navy admiral best known for his controversial command during the War of the Austrian Succession, particularly at the Battle of Toulon.
-
E.
Mallinson
Mallinson is a central character in James Hilton's novel "Lost Horizon," serving as a young, skeptical counterpoint to the story's more mystical and idealistic themes.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb2644c819094864bd88bcebcbd |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:50 p.m.