Triple
T7360856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim (novel) |
E169741
|
entity |
| Predicate | titleCharacter |
P9202
|
FINISHED |
| Object | Kimball O'Hara |
E283932
|
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: Kimball O'Hara | Statement: [Kim (novel), titleCharacter, Kimball O'Hara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimball O'Hara Context triple: [Kim (novel), titleCharacter, Kimball O'Hara]
-
A.
Kimball O'Hara
chosen
Kimball O'Hara is the orphaned Irish-Indian boy and streetwise spy-in-training who serves as the protagonist of Rudyard Kipling’s novel "Kim."
-
B.
Taral Hicks
Taral Hicks is an American actress and singer best known for her roles in 1990s films and television, including her breakout performance in the crime drama "A Bronx Tale."
-
C.
Berry Oakley
Berry Oakley was an American bassist best known for his melodic, driving bass work and founding role in the pioneering Southern rock group the Allman Brothers Band.
-
D.
Jesse Hoyt
Jesse Hoyt was a 19th-century American lawyer and Democratic politician who became a prominent New York political figure and customs official.
-
E.
Kay Nelson
Kay Nelson was a Hollywood costume designer known for her work on classic films of the 1940s.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f15e0280819086627cef15fe18bd |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810d4b8e88190997b2a09ca5df838 |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:06 p.m.