Triple
T21755890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kavanagh |
E537037
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Kavanaugh |
—
|
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: Kavanaugh | Statement: [Kavanagh, hasVariant, Kavanaugh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kavanaugh Context triple: [Kavanagh, hasVariant, Kavanaugh]
-
A.
Kavanaugh
chosen
Kavanaugh is a surname most prominently associated with Brett M. Kavanaugh, an Associate Justice of the United States Supreme Court.
-
B.
Justice Clerk
The Justice Clerk was a senior legal and judicial office in Scotland, historically responsible for clerking the High Court of Justiciary and advising on criminal law matters.
-
C.
Madam Speaker
"Madam Speaker" is the formal mode of address used for a woman serving as Speaker of the United States House of Representatives.
-
D.
Dobbs
Dobbs is the middle name of Richard Dobbs Spaight, a Founding Father who signed the U.S. Constitution and served as Governor of North Carolina.
-
E.
A Current Affair
A Current Affair is a long-running Australian television current affairs program known for its tabloid-style coverage of news, human-interest stories, and consumer issues.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8ea04c8190a8c4fa43b3f23935 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 16, 2026, 6:50 p.m.