Triple
T8785558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shari Belafonte |
E209035
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Shari |
E568921
|
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: Shari | Statement: [Shari Belafonte, givenName, Shari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shari Context triple: [Shari Belafonte, givenName, Shari]
-
A.
Shari
chosen
Shari is a feminine given name used in various cultures, often as a variant of Sherry or Sharon.
-
B.
Shirlee
Shirlee is an alternative given name spelling of Shirley, typically used as a feminine first name.
-
C.
Sharya
Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
-
D.
Shaye
Shaye is a surname most notably associated with Robert Shaye, the American film executive and founder of New Line Cinema.
-
E.
Shauna
Shauna is a feminine given name, commonly considered the female form of Sean and used primarily 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f758d348190804942d985f2337c |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51fded4c81909725807e4855c4a2 |
completed | April 3, 2026, 5:37 a.m. |
Created at: March 30, 2026, 6:42 p.m.