Triple
T7169834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Schweiker |
E167164
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mark Schweiker |
E167164
|
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: Mark Schweiker | Statement: [Mark Schweiker, name, Mark Schweiker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Schweiker Context triple: [Mark Schweiker, name, Mark Schweiker]
-
A.
Mark Schweiker
chosen
Mark Schweiker is an American politician who served as the 44th governor of Pennsylvania in the early 2000s.
-
B.
Michael S. Turner
Michael S. Turner is an American cosmologist and astrophysicist known for pioneering work on dark energy, inflation, and the early universe.
-
C.
Richard Priebus
Richard Priebus is the father of former Republican National Committee chairman and White House Chief of Staff Reince Priebus.
-
D.
James Whitaker
James Whitaker is a film cinematographer known for his work on feature films such as the comedy-drama "Troop Zero."
-
E.
Thomas P. Corbett
Thomas P. Corbett, better known as Boston Corbett, was the Union Army soldier famed for killing John Wilkes Booth, the assassin of President Abraham Lincoln.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e85d8f208190915f6f4c05988b63 |
completed | March 27, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b9094a8c81909e9d5b91ec714831 |
completed | March 28, 2026, 11:18 a.m. |
Created at: March 27, 2026, 2:48 p.m.