Triple
T6056337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Irwin |
E134919
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | William Irwin |
E134919
|
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: William Irwin | Statement: [William Irwin, name, William Irwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Irwin Context triple: [William Irwin, name, William Irwin]
-
A.
William Irwin
chosen
William Irwin was a 19th-century American politician who served as Governor of California from 1875 to 1880.
-
B.
Thomas Mayne
Thomas Mayne was an Australian food scientist best known for creating the chocolate malted milk drink Milo in the 1930s.
-
C.
William Rose
William Rose was an American screenwriter best known for his work on classic comedies such as "The Russians Are Coming, the Russians Are Coming" and "Guess Who's Coming to Dinner."
-
D.
Arthur Winslow
Arthur Winslow is the principled Edwardian father in Terence Rattigan’s play "The Winslow Boy," who risks his family’s security to clear his son’s name.
-
E.
John Milton Hamilton
John Milton Hamilton was an individual significant enough in regional history or exploration that Mount Hamilton was named in his honor.
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0570bf01c8190a8b2c25b7805d403 |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77510f80c81908fe7784bdaa640c5 |
completed | March 28, 2026, 6:28 a.m. |
Created at: March 22, 2026, 4:09 p.m.