Triple
T22496838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew |
E556162
|
entity |
| Predicate | hasRelatedSurname |
P3889
|
FINISHED |
| Object | Matthews |
—
|
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: Matthews | Statement: [Matthew, hasRelatedSurname, Matthews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthews Context triple: [Matthew, hasRelatedSurname, Matthews]
-
A.
Matthews
chosen
Matthews is a common English-language surname borne by numerous notable individuals across sports, politics, entertainment, and other fields.
-
B.
Mathews
Mathews is a surname of English and Welsh origin, commonly borne by individuals in English-speaking countries.
-
C.
Scott Matthews
Scott Matthews is an English singer-songwriter and guitarist known for his emotive vocals and atmospheric folk-rock compositions.
-
D.
Russ Matthews
Russ Matthews is a fictional character best known as one of Iris Carrington’s significant romantic partners in the long-running soap opera "Another World."
-
E.
Thomas Matthews
Thomas Matthews is a relatively common personal name shared by multiple notable individuals across fields such as sports, politics, and the arts.
- 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.