Triple
T4701613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earvin |
E104285
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Ervin |
E114594
|
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: Ervin | Statement: [Earvin, hasSpellingVariant, Ervin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ervin Context triple: [Earvin, hasSpellingVariant, Ervin]
-
A.
Ervin
chosen
Ervin is a masculine given name of Germanic origin, closely related to names like Erwin and Irvin.
-
B.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
C.
Dan Knechtges
Dan Knechtges is an American director and choreographer known for his work on numerous Broadway and Off-Broadway musicals.
-
D.
Newt Geiszler
Newt Geiszler is a quirky, hyper-intelligent kaiju-obsessed scientist and former PPDC researcher in the Pacific Rim film series.
-
E.
Hurd Hatfield
Hurd Hatfield was an American actor best known for his haunting title role in the 1945 film adaptation of "The Picture of Dorian Gray."
- 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_69bd43e9b88481908582103dcadff3d9 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63cd447081908120ee1691009982 |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03ca24848190aa7df32472647cae |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:17 p.m.