Triple
T13324330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Cooper |
E317398
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Susan Cooper |
E317398
|
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: Susan Cooper | Statement: [Susan Cooper, name, Susan Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Cooper Context triple: [Susan Cooper, name, Susan Cooper]
-
A.
Susan Cooper
chosen
Susan Cooper is a British-born American author best known for her award-winning fantasy series "The Dark Is Rising."
-
B.
Pauline Baynes
Pauline Baynes was a British illustrator best known for her iconic artwork for J.R.R. Tolkien’s Middle-earth writings and C.S. Lewis’s The Chronicles of Narnia.
-
C.
Lynne Reid Banks
Lynne Reid Banks was a British author best known for her novel "The L-Shaped Room" and the children's classic "The Indian in the Cupboard."
-
D.
Jane Yolen
Jane Yolen is a prolific American author best known for her fantasy, science fiction, and children's literature, including works like "The Devil's Arithmetic" and "Owl Moon."
-
E.
Zannie Beaty
Zannie Beaty is a film producer known for work on the teen comedy movie "Easy A."
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992c1fec8190bcb6a6bb3c973a24 |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f2cd5688190a2a0db0f0295de83 |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:30 p.m.