Triple
T14975342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Seigenthaler |
E373431
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | USA Today |
E373204
|
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: USA Today | Statement: [John Seigenthaler, employer, USA Today]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USA Today Context triple: [John Seigenthaler, employer, USA Today]
-
A.
USA Today
chosen
USA Today is a widely circulated American daily newspaper known for its concise reporting, colorful design, and national focus.
-
B.
The New York Times
The New York Times is a leading American newspaper renowned for its influential journalism, extensive global coverage, and role as a newspaper of record.
-
C.
Washington Post
The Washington Post is a major American newspaper renowned for its investigative journalism, particularly its pivotal reporting on the Watergate scandal that led to President Nixon’s resignation.
-
D.
The Washington Times
The Washington Times is a conservative-leaning daily newspaper based in Washington, D.C., known for its political coverage and commentary.
-
E.
National Post
The National Post is a Canadian English-language daily newspaper known for its national coverage and generally conservative editorial stance.
- 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_69ded6e8733081908e06b53746eb6eb6 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8beac05c8190bf19ec8bd1eab2d8 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:51 a.m.