Triple
T8067771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brett M. Kavanaugh |
E188288
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kavanaugh |
E188288
|
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: Kavanaugh | Statement: [Brett M. Kavanaugh, familyName, Kavanaugh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kavanaugh Context triple: [Brett M. Kavanaugh, familyName, 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.
Ryan Kavanaugh
Ryan Kavanaugh is an American film producer and financier best known as the founder and former CEO of the Hollywood studio Relativity Media.
-
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 (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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff8a4fc8190a97fc7111ca7ec4d |
completed | March 31, 2026, 3:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63e587908190980f1f026f4aa153 |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:27 p.m.