Triple
T23367452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Krauthammer |
E593362
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Krauthammer |
—
|
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: Krauthammer | Statement: [Daniel Krauthammer, familyName, Krauthammer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krauthammer Context triple: [Daniel Krauthammer, familyName, Krauthammer]
-
A.
Charles Krauthammer
Charles Krauthammer was an American political columnist, commentator, and physician known for his influential conservative analysis in major U.S. media outlets.
-
B.
Daniel Krauthammer
chosen
Daniel Krauthammer is an American writer and commentator known for editing and publishing his late father Charles Krauthammer’s final works and for his own essays on politics, economics, and culture.
-
C.
Kuttner
Kuttner is a surname of German origin borne by various notable individuals across fields such as literature, politics, and academia.
-
D.
Wheeler Oakman
Wheeler Oakman was an American film actor of the silent and early sound eras, known for his prolific work in crime dramas and serials.
-
E.
Robert Fiske
Robert Fiske was an American character actor active in early 20th-century film and serials, often appearing in supporting and villainous roles.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0ad621881908a909f236e6e9c90 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:32 p.m.