Triple
T10091541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IWW |
E215354
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object | Jane Smiley |
E218092
|
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: Jane Smiley | Statement: [IWW, hasAlumnus, Jane Smiley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Smiley Context triple: [IWW, hasAlumnus, Jane Smiley]
-
A.
Jane Smiley
chosen
Jane Smiley is a Pulitzer Prize–winning American novelist best known for works such as "A Thousand Acres," noted for her incisive explorations of family, morality, and Midwestern life.
-
B.
Julia Glass
Julia Glass is an American novelist best known for her National Book Award–winning novel "Three Junes."
-
C.
Geraldine Brooks
Geraldine Brooks was an American actress known for her work in mid-20th-century films, television, and stage productions.
-
D.
Ann Beattie
Ann Beattie is an American author renowned for her incisive short stories and novels depicting contemporary life and relationships, often associated with the minimalist literary movement.
-
E.
Joyce Harwood
Joyce Harwood is a central femme fatale-style figure in the 1946 film noir "The Blue Dahlia," entangled in a web of murder, deception, and romantic tension.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05aa02081908fba02e7085c6d7c |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6a587e0819093f38d5e69db43ec |
completed | April 5, 2026, 7:23 p.m. |
Created at: March 30, 2026, 9:01 p.m.