Triple
T5110839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. K. Rowling |
E115208
|
entity |
| Predicate | twitterUsername |
P2943
|
FINISHED |
| Object | jk_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: jk_rowling | Statement: [J. K. Rowling, twitterUsername, jk_rowling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: jk_rowling Context triple: [J. K. Rowling, twitterUsername, jk_rowling]
-
A.
Bill Rowling
Bill Rowling was a New Zealand Labour Party politician who served as Prime Minister in the mid-1970s.
-
B.
J. K. Rowling
chosen
J. K. Rowling is a British author best known for writing the globally popular Harry Potter fantasy series.
-
C.
de Potter
de Potter is a Belgian noble family name historically associated with political and intellectual figures such as Louis de Potter.
-
D.
Israel Potter
Israel Potter is a lesser-known historical novel by Herman Melville that fictionalizes the life and adventures of an American Revolutionary War veteran.
-
E.
Harry Potter
Harry Potter is a young wizard who attends Hogwarts School of Witchcraft and Wizardry and becomes famous for surviving an attack by the dark wizard Lord Voldemort.
- 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_69bd4441d1648190a54a533895041987 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75ad362c8190b9cbded390aaea3c |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beef9de9c88190b06c5076e5eabe3e |
completed | March 21, 2026, 7:21 p.m. |
Created at: March 20, 2026, 1:41 p.m.