Triple
T14972301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Rockwell Wirtz |
E373351
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Bill Wirtz |
E693574
|
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: Bill Wirtz | Statement: [William Rockwell Wirtz, father, Bill Wirtz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Wirtz Context triple: [William Rockwell Wirtz, father, Bill Wirtz]
-
A.
Bill Wirtz
chosen
Bill Wirtz was an American businessman best known as the longtime owner and chairman of the NHL’s Chicago Blackhawks and a prominent figure in the Wirtz family liquor and real estate empire.
-
B.
Wayne Wahrman
Wayne Wahrman is a film editor best known for his work on major Hollywood productions, including the post-apocalyptic thriller "I Am Legend."
-
C.
William Wiegand
William Wiegand was an American writer and critic known for his contributions to mid-20th-century literary culture.
-
D.
Michael Wittenberg
Michael Wittenberg was an investment adviser best known as the late husband of Broadway star Bernadette Peters.
-
E.
Bill Wittliff
Bill Wittliff was an American screenwriter, author, and photographer best known for adapting and writing acclaimed Western-themed films and television miniseries.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e767608190940eb6f16ea97451 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8be8af688190832efb00695f8b20 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:50 a.m.