Triple
T2664570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John |
E55602
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Evan |
E126478
|
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: Evan | Statement: [John, hasVariant, Evan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evan Context triple: [John, hasVariant, Evan]
-
A.
Evan
chosen
Evan is a masculine given name of Welsh origin meaning "the Lord is gracious," commonly used in English-speaking countries.
-
B.
Evan Ross
Evan Ross is an American actor and musician, known for his film and television roles and as the son of legendary singer Diana Ross.
-
C.
Evan Washburn
Evan Washburn is an American sports reporter best known as a sideline correspondent for CBS’s NFL coverage, including major events like the Super Bowl.
-
D.
Evan Whitfield
Evan Whitfield is a former American professional soccer defender best known for his years with the Chicago Fire in Major League Soccer.
-
E.
Gavin
Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd96dba44819085c3e651afba7806 |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98dc36d8819086fc739c324f0761 |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:54 p.m.