Triple
T19858183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John |
E477188
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Sean |
—
|
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: Sean | Statement: [John, hasVariant, Sean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Context triple: [John, hasVariant, Sean]
-
A.
Sean
chosen
Sean is a common masculine given name of Irish origin, meaning "God is gracious."
-
B.
Steven
Steven is the given first name of American film producer and New York Giants co-owner Steve Tisch.
-
C.
Steven
Steven is the given first name of American author and politician Steve King.
-
D.
Steven
Steven is the main half-human, half-Gem protagonist of the animated television series "Steven Universe," known for his compassion, magical gem powers, and role in protecting Earth.
-
E.
Steven
Steven is the given first name of American Thoroughbred racehorse trainer Steve Asmussen.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586dbbf0819089e7157d416aeaaf |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.