Triple
T21904672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Object Lessons |
E540901
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Anna Quindlen |
—
|
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: Anna Quindlen | Statement: [Object Lessons, creator, Anna Quindlen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Quindlen Context triple: [Object Lessons, creator, Anna Quindlen]
-
A.
Anna Quindlen
chosen
Anna Quindlen is an American author, journalist, and former New York Times columnist known for her insightful commentary on social and political issues.
-
B.
Geraldine Brooks
Geraldine Brooks was an American actress known for her work in mid-20th-century films, television, and stage productions.
-
C.
Catherine Burks-Brooks
Catherine Burks-Brooks was a civil rights activist best known for her courageous role as a Freedom Rider challenging racial segregation in the American South during the early 1960s.
-
D.
Margaret Chodos-Irvine
Margaret Chodos-Irvine is an American illustrator and printmaker known for her distinctive, textured artwork in children’s books.
-
E.
Elinor Lipman
Elinor Lipman is an American novelist known for her witty, character-driven romantic comedies and social satires.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d4c0248190909172decd7cbc64 |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:29 p.m.