Triple
T12833692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irving |
E306850
|
entity |
| Predicate | variantSpelling |
P457
|
FINISHED |
| Object | Erving |
E113431
|
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: Erving | Statement: [Irving, variantSpelling, Erving]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erving Context triple: [Irving, variantSpelling, Erving]
-
A.
Erving
chosen
Erving is the surname of Julius Erving, the Hall of Fame American basketball player widely known as "Dr. J."
-
B.
Veber
Veber is a French surname most notably associated with filmmaker and playwright Francis Veber.
-
C.
Geronimus
Geronimus is a masculine given name and surname of Greek origin, related to names like Jerome that derive from a term meaning “sacred name.”
-
D.
Eliassen
Eliassen is a Norwegian surname borne by various notable figures, including scientists, athletes, and public personalities.
-
E.
Eisenberg
Eisenberg is a surname most notably associated with American actress Hallie Kate Eisenberg.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96fb1c7248190bb6e644e041d192e |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68edaa6288190a775f6e852fa941b |
completed | May 2, 2026, 11:55 p.m. |
Created at: April 9, 2026, 5:34 p.m.