Triple
T17229981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sissela Bok |
E418215
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sissela Bok |
E418215
|
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: Sissela Bok | Statement: [Sissela Bok, name, Sissela Bok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sissela Bok Context triple: [Sissela Bok, name, Sissela Bok]
-
A.
Sissela Bok
chosen
Sissela Bok is a Swedish-born American philosopher and ethicist known for her influential work on lying, moral choice, and bioethics.
-
B.
Madeleine Elster
Madeleine Elster is a mysterious and elegant woman central to Alfred Hitchcock’s film "Vertigo," whose enigmatic behavior and apparent possession drive the film’s psychological suspense and romantic obsession.
-
C.
Anna Koppelman
Anna Koppelman is the daughter of American screenwriter, director, and producer Brian Koppelman.
-
D.
Kari Polanyi-Levitt
Kari Polanyi-Levitt is a Canadian economist and academic known for her work on development economics and for preserving and promoting the legacy of her father, political economist Karl Polanyi.
-
E.
Donna Toulmin
Donna Toulmin is known as the wife of British philosopher Stephen Toulmin, associated with his personal and academic life.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42df62ec48190b2ed633a5bcc0255 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675eae08819093427b4dc1ffee5f |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:39 a.m.