Triple
T11296462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levar Stoney |
E267463
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Levar |
E267463
|
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: Levar | Statement: [Levar Stoney, givenName, Levar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Levar Context triple: [Levar Stoney, givenName, Levar]
-
A.
Levar
chosen
Levar is the given name of Levar Stoney, an American politician who has served as the mayor of Richmond, Virginia.
-
B.
Levien
Levien is a surname shared by various notable individuals across fields such as literature, film, and business.
-
C.
Lechmere
Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
-
D.
Eliassen
Eliassen is a Norwegian surname borne by various notable figures, including scientists, athletes, and public personalities.
-
E.
Langella
Langella is an Italian-origin surname most notably borne by acclaimed American actor Frank Langella.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a262e08190a7c1eacbc6019496 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a32ac308190828e1138522527fb |
completed | April 19, 2026, 5 p.m. |
Created at: April 8, 2026, 9:32 p.m.