Triple
T14580836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamin |
E342186
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Benyamin |
E485474
|
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: Benyamin | Statement: [Benjamin, hasVariant, Benyamin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benyamin Context triple: [Benjamin, hasVariant, Benyamin]
-
A.
Beniamin
Beniamin is a rural village located in Armenia’s Shirak Province.
-
B.
Benjamín
chosen
Benjamín is a masculine given name of Hebrew origin, commonly used in Spanish-speaking countries.
-
C.
Benjamin Emanuel
Benjamin Emanuel is an Israeli-born pediatrician and former member of the Irgun paramilitary group, best known as the father of Hollywood talent agent Ari Emanuel and former Chicago mayor Rahm Emanuel.
-
D.
Benjamin
Benjamin is the given name of the 20th-century Lithuanian-born American artist and social realist Ben Shahn.
-
E.
Benjamin
Benjamin is the given name of Benjamin Breckinridge Warfield, a prominent American Presbyterian theologian and professor at Princeton Theological Seminary in the late 19th and early 20th centuries.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb41e71748190a1deacc819dd26d3 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94b832b08190965b727baa700403 |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:24 a.m.