Triple
T13258996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Vaughn |
E315737
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Vaughn |
E244316
|
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: Vaughn | Statement: [Michael Vaughn, hasSurname, Vaughn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaughn Context triple: [Michael Vaughn, hasSurname, Vaughn]
-
A.
Vaughn
chosen
Vaughn is a surname most prominently associated with English film director and producer Matthew Vaughn, known for stylish action and comic-book adaptations.
-
B.
LaVaughn
LaVaughn is the middle name of Michelle Obama, the former First Lady of the United States.
-
C.
Gaven
Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
-
D.
Corbin
Corbin is a surname most notably associated with American professional baseball pitcher Patrick Corbin.
-
E.
Vachel
Vachel is the given name of American poet Vachel Lindsay, known for his rhythmic, performance-oriented verse and influence on modern spoken poetry.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f778088819082b8a596c04bfe02 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a444b4c8190a5dd95460ac96cc7 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:25 p.m.