Triple
T7768937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tik-Tok of Oz |
E179020
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | L. Frank Baum |
E48451
|
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: L. Frank Baum | Statement: [Tik-Tok of Oz, author, L. Frank Baum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L. Frank Baum Context triple: [Tik-Tok of Oz, author, L. Frank Baum]
-
A.
L. Frank Baum
chosen
L. Frank Baum was an American author best known for creating the beloved Oz series of children's fantasy novels.
-
B.
W. W. Denslow
W. W. Denslow was an American illustrator and caricaturist best known for creating the original iconic illustrations for L. Frank Baum’s Oz books.
-
C.
Windland Smith Rice
Windland Smith Rice was an American nature and wildlife photographer and conservationist, known for her award-winning images and for being the daughter of FedEx founder Frederick W. Smith.
-
D.
Eugene Field
Eugene Field was an American writer best known for his humorous newspaper columns and beloved children's poetry, including "Wynken, Blynken, and Nod."
-
E.
Eleanor H. Porter
Eleanor H. Porter was an American novelist best known for writing the classic children's book "Pollyanna."
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c704376dc08190890f5ebb9f259cfd |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7e7818c8190920ea2bde6343968 |
completed | March 29, 2026, 6:34 a.m. |
Created at: March 27, 2026, 4:11 p.m.