Triple
T8019414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Safire |
E186700
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Safire |
E186700
|
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: Safire | Statement: [William Safire, familyName, Safire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safire Context triple: [William Safire, familyName, Safire]
-
A.
William Safire
chosen
William Safire was an American author, Pulitzer Prize–winning New York Times political columnist, and former speechwriter for President Richard Nixon.
-
B.
Wheeler Oakman
Wheeler Oakman was an American film actor of the silent and early sound eras, known for his prolific work in crime dramas and serials.
-
C.
Russell Baker
Russell Baker was an American Pulitzer Prize–winning journalist, humorist, and author best known for his long-running New York Times column and his memoir "Growing Up."
-
D.
Michael Kinsley
Michael Kinsley is an American political journalist and commentator known for his influential work in opinion journalism and his leadership roles at several major publications.
-
E.
Joe Franklin
Joe Franklin was an American radio and television host famed as a pioneer of the talk show format and for his long-running New York City program.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8bc90081909f6f5878e6f1f241 |
completed | March 31, 2026, 3:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63c4937c8190999a156299299ab3 |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:20 p.m.