Triple
T6666512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul O’Neill |
E151616
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Paul Andrew O’Neill |
E151616
|
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: Paul Andrew O’Neill | Statement: [Paul O’Neill, name, Paul Andrew O’Neill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Andrew O’Neill Context triple: [Paul O’Neill, name, Paul Andrew O’Neill]
-
A.
Paul O’Neill
chosen
Paul O’Neill is a former Major League Baseball right fielder best known as a key member of the New York Yankees’ late-1990s dynasty, celebrated for his clutch hitting and fiery competitiveness.
-
B.
Gene Sperling
Gene Sperling is an American economist and policy advisor who served as Director of the National Economic Council under Presidents Bill Clinton and Barack Obama.
-
C.
Sam Leavitt
Sam Leavitt was an American cinematographer known for his work on numerous Hollywood films, including several acclaimed mid-20th-century productions.
-
D.
Kevin Murphy
Kevin Murphy is an American writer and performer best known as a longtime contributor to the cult comedy series Mystery Science Theater 3000.
-
E.
Kevin Murphy
Kevin Murphy is an American economist known for his influential work in labor economics, human capital, and the economics of inequality and growth.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b09ec2ec8190aa666c68c6c2cfc6 |
completed | March 27, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef0e33308190995fcccf50d134c1 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:02 p.m.