Triple
T8428361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whenever, Wherever |
E199057
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Tim Mitchell |
E742181
|
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: Tim Mitchell | Statement: [Whenever, Wherever, writer, Tim Mitchell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Mitchell Context triple: [Whenever, Wherever, writer, Tim Mitchell]
-
A.
Tim Mitchell
chosen
Tim Mitchell is a music producer best known for his work on Shakira’s breakthrough English-language album "Laundry Service."
-
B.
David Brydie Mitchell
David Brydie Mitchell was an early 19th-century American politician who served as governor of Georgia and later as a U.S. Indian agent.
-
C.
Carl Mitchell
Carl Mitchell, better known by his stage name Twista, is a Chicago rapper renowned for his rapid-fire delivery and contributions to hip-hop.
-
D.
Mitchell Lewis
Mitchell Lewis was an American film actor of the silent and early sound era, known for his rugged character roles in numerous dramas and adventure films.
-
E.
Doug Mitchell
Doug Mitchell is a Canadian lawyer, businessman, and prominent sports executive known for his influential role in Canadian university athletics and contributions to hockey.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd124378c819086ea2fa6ecbfffe1 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb45b10c8190a0bc75c415aa6736 |
completed | April 2, 2026, 6:53 p.m. |
Created at: March 30, 2026, 6:07 p.m.