Triple
T8449859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Wrinkle in Time |
E199773
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Madeleine L’Engle |
E567485
|
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: Madeleine L’Engle | Statement: [A Wrinkle in Time, author, Madeleine L’Engle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madeleine L’Engle Context triple: [A Wrinkle in Time, author, Madeleine L’Engle]
-
A.
Madeleine L’Engle
chosen
Madeleine L’Engle was an American author best known for her Newbery Medal–winning science fantasy novel "A Wrinkle in Time" and its sequels, which blend speculative fiction with spiritual and philosophical themes.
-
B.
Lois Lowry
Lois Lowry is an American author best known for her award-winning young adult novels such as "The Giver" and "Number the Stars."
-
C.
Susan Cooper
Susan Cooper is a British-born American author best known for her award-winning fantasy series "The Dark Is Rising."
-
D.
Sandra Pullman
Sandra Pullman is a determined, by-the-book detective who leads a team of retired officers investigating cold cases in the British television series "New Tricks."
-
E.
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."
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44707b88190b3d8b30c45ef4496 |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1dc85e48819083340d022d0dba9b |
completed | April 2, 2026, 7:42 a.m. |
Created at: March 30, 2026, 6:09 p.m.