Triple
T20167014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas G. Stemberg |
E491847
|
entity |
| Predicate | supported |
P1853
|
FINISHED |
| Object | Mitt Romney |
—
|
NE NERFINISHED |
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: Mitt Romney | Statement: [Thomas G. Stemberg, supported, Mitt Romney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitt Romney Context triple: [Thomas G. Stemberg, supported, Mitt Romney]
-
A.
Mitt Romney
chosen
Mitt Romney is an American politician and businessman who served as governor of Massachusetts and was the Republican Party’s nominee for president in the 2012 election.
-
B.
Matt Romney
Matt Romney is an American businessman and the son of politician Mitt Romney and author Ann Romney.
-
C.
Romney
Romney is a prominent American surname most widely associated with politician Mitt Romney and his influential political family.
-
D.
Romney
Romney is the middle name of John Thomas Romney Robinson, a 19th-century Irish astronomer and physicist known for his work on stellar magnitudes and the design of scientific instruments.
-
E.
Craig Romney
Craig Romney is an American businessman and the youngest son of politician Mitt Romney and author Ann Romney.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66844e49081909b7e9ec2b65cc61d |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.