Triple
T12231522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonder Man |
E291486
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | Simon Williams |
E969622
|
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: Simon Williams | Statement: [Wonder Man, hasAlias, Simon Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Williams Context triple: [Wonder Man, hasAlias, Simon Williams]
-
A.
Simon Williams
chosen
Simon Williams is a Marvel Comics superhero best known as Wonder Man, an ionic-powered Avenger with superhuman strength and durability.
-
B.
Alan Williams
Alan Williams is a name shared by multiple notable individuals across fields such as politics, sports, and the arts.
-
C.
Stephen Williams
Stephen Williams is a television and film director and producer known for his work on acclaimed series such as Watchmen and Lost.
-
D.
Stephen Williams
Stephen Williams was a colonial American Congregational minister and diarist known for his captivity during the Deerfield raid of 1704 and his long subsequent ministry in Longmeadow, Massachusetts.
-
E.
Jonathan Williams
Jonathan Williams was an early American military engineer and officer who served as the first superintendent of the United States Military Academy at West Point.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca45bd48190b8b7f6b29b6bb25b |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e5e32908190a3c1e75ba336ad89 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:51 p.m.