Triple
T7332102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wesleyan University |
E169026
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | Wes |
E169026
|
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: Wes | Statement: [Wesleyan University, abbreviation, Wes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wes Context triple: [Wesleyan University, abbreviation, Wes]
-
A.
Wes
chosen
Wes is a common shorthand name for Wesleyan University, a private liberal arts institution known for its rigorous academics and vibrant campus culture.
-
B.
Wes
Wes is the commonly used nickname of legendary American jazz guitarist Wes Montgomery, renowned for his influential, melodic playing style and use of thumb-picked octaves.
-
C.
Wesley Jonathan
Wesley Jonathan is an American actor best known for his roles in early-2000s television sitcoms and films, including the roller-skating comedy-drama "Roll Bounce."
-
D.
Marcus Wesley
Marcus Wesley is an American actor best known for his supporting roles in films such as the 2006 fantasy adventure movie "The Fall."
-
E.
Leon Wilkeson
Leon Wilkeson was the longtime bassist for the Southern rock band Lynyrd Skynyrd, known for his melodic playing and distinctive stage presence.
- 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_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0bf93dc8190931c13865ba827dd |
completed | March 27, 2026, 9:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef1ac84c819095f03cf731f11c01 |
completed | March 28, 2026, 3:09 p.m. |
Created at: March 27, 2026, 3:03 p.m.