Triple
T5072632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dervish and Banges |
E114315
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | J. K. Rowling |
E115208
|
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: J. K. Rowling | Statement: [Dervish and Banges, creator, J. K. Rowling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J. K. Rowling Context triple: [Dervish and Banges, creator, J. K. Rowling]
-
A.
J. K. Rowling
chosen
J. K. Rowling is a British author best known for writing the globally popular Harry Potter fantasy series.
-
B.
Bill Rowling
Bill Rowling was a New Zealand Labour Party politician who served as Prime Minister in the mid-1970s.
-
C.
T. H. White
T. H. White was a British author best known for his Arthurian fantasy series "The Once and Future King."
-
D.
Dodie Smith
Dodie Smith was an English novelist and playwright best known for writing the children's classic "The Hundred and One Dalmatians."
-
E.
Andrew Davies
Andrew Davies is a renowned British screenwriter celebrated for his acclaimed television adaptations of classic literature, including numerous works by Jane Austen.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74cfa4348190bc50590117a6bcf9 |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba689ee081909a6bb75c6da07db5 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:39 p.m.