Triple
T22178748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jill Abramson |
E548114
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Abramson |
—
|
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: Abramson | Statement: [Jill Abramson, familyName, Abramson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abramson Context triple: [Jill Abramson, familyName, Abramson]
-
A.
Abramson
chosen
Abramson is a Jewish Ashkenazi patronymic surname derived from the given name Abram or Abraham, meaning "son of Abram/Abraham."
-
B.
Abramovitz
Abramovitz is a Jewish-origin surname most notably borne by American architect Max Abramovitz, known for designing prominent modernist buildings.
-
C.
Abrahamson
Abrahamson is a surname of Scandinavian origin borne by various notable individuals in fields such as science, the military, and the arts.
-
D.
Leventhal
Leventhal is a Jewish-origin surname borne by various notable individuals in fields such as law, academia, and the arts.
-
E.
Abelson
Abelson is a surname most notably associated with Hal Abelson, an American computer scientist and educator known for his work on the Scheme programming language and the textbook "Structure and Interpretation of Computer Programs."
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6dd5a081908035e81c068d8d5a |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.