Triple
T1839837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wesley |
E41148
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Wess
Wess is a given name, typically used as a shortened or variant form of Wesley.
|
E206882
|
NE FINISHED |
How this triple was built (4 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: Wess | Statement: [Wesley, hasVariant, Wess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wess Context triple: [Wesley, hasVariant, Wess]
-
A.
Weinberg
Weinberg is a surname most prominently associated with Steven Weinberg, the Nobel Prize–winning theoretical physicist known for his work on the unification of fundamental forces.
-
B.
Guralnik
Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
-
C.
Weyl
Weyl is a surname most famously associated with Hermann Weyl, a prominent 20th-century mathematician and theoretical physicist known for major contributions to group theory, quantum mechanics, and the foundations of mathematics.
-
D.
Wolff
Wolff is a German surname borne by numerous notable individuals across fields such as philosophy, science, and the arts.
-
E.
Wes
Wes is a common shorthand name for Wesleyan University, a private liberal arts institution known for its rigorous academics and vibrant campus culture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wess Triple: [Wesley, hasVariant, Wess]
Generated description
Wess is a given name, typically used as a shortened or variant form of Wesley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wess Target entity description: Wess is a given name, typically used as a shortened or variant form of Wesley.
-
A.
Weinberg
Weinberg is a surname most prominently associated with Steven Weinberg, the Nobel Prize–winning theoretical physicist known for his work on the unification of fundamental forces.
-
B.
Guralnik
Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
-
C.
Weyl
Weyl is a surname most famously associated with Hermann Weyl, a prominent 20th-century mathematician and theoretical physicist known for major contributions to group theory, quantum mechanics, and the foundations of mathematics.
-
D.
Wolff
Wolff is a German surname borne by numerous notable individuals across fields such as philosophy, science, and the arts.
-
E.
Wes
Wes is a common shorthand name for Wesleyan University, a private liberal arts institution known for its rigorous academics and vibrant campus culture.
- F. None of above. chosen
Provenance (5 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb03b3eb08190ae68d8476fc89c7f |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9bb92a88190a00b102d3be0383c |
completed | March 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69adcaf078a0819082c4bb48a3820ada |
completed | March 8, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adce8a68848190ab56f5df7311dbca |
completed | March 8, 2026, 7:31 p.m. |
Created at: March 4, 2026, 7:33 p.m.