Triple
T11264877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Einstein |
E266657
|
entity |
| Predicate | childOf |
P120
|
FINISHED |
| Object | Pauline Koch |
E266657
|
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: Pauline Koch | Statement: [Albert Einstein, childOf, Pauline Koch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pauline Koch Context triple: [Albert Einstein, childOf, Pauline Koch]
-
A.
Pauline Koch
chosen
Pauline Koch was the mother of physicist Albert Einstein and the wife of engineer Hermann Einstein.
-
B.
Douglas Koch
Douglas Koch is a cinematographer known for his work as director of photography on films such as David Cronenberg’s 2022 science-fiction body horror "Crimes of the Future."
-
C.
Martha Raddatz
Martha Raddatz is an American journalist and television news anchor best known as ABC News’ chief global affairs correspondent and a prominent moderator of U.S. political debates.
-
D.
Kathy Speer
Kathy Speer is an American television writer and producer best known for her work on popular sitcoms such as The Golden Girls and its spin-off The Golden Palace.
-
E.
JoAnn Mueller
JoAnn Mueller is best known as the former wife of longtime Los Angeles Lakers owner Jerry Buss.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94d56048190bf808e1bc2188714 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f4229c7081909da6b22ee6bf4905 |
completed | April 19, 2026, 3:26 p.m. |
Created at: April 8, 2026, 9:31 p.m.