Triple
T9271535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wes Edens |
E222839
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Wesley |
E41148
|
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: Wesley | Statement: [Wes Edens, givenName, Wesley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wesley Context triple: [Wes Edens, givenName, Wesley]
-
A.
Wesley
chosen
Wesley is a masculine given name of English origin, traditionally used in English-speaking countries.
-
B.
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."
-
C.
John Wesley
John Wesley was an 18th-century Anglican cleric and theologian who founded Methodism and became a central figure in the rise of modern evangelical Christianity.
-
D.
John Wesley
John Wesley is a mischievous, disrespectful young boy in Flannery O’Connor’s short story “A Good Man Is Hard to Find,” embodying the tale’s themes of moral decay and generational conflict.
-
E.
Willimon
Willimon is the surname of American playwright and screenwriter Beau Willimon, best known as the creator of the U.S. version of the political drama series "House of Cards."
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07865790819099b3865a25dae58a |
completed | April 1, 2026, 11:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c2ca500819083ef4aa37f3e3a7f |
completed | April 4, 2026, 5:05 a.m. |
Created at: March 30, 2026, 7:33 p.m.