Triple
T6739467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Mitchell |
E154038
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | David Mitchell |
E154038
|
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: David Mitchell | Statement: [David Mitchell, name, David Mitchell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Mitchell Context triple: [David Mitchell, name, David Mitchell]
-
A.
David Mitchell
chosen
David Mitchell is a British novelist best known for his genre-blending, intricately structured works such as "Cloud Atlas" and "The Bone Clocks."
-
B.
David Mitchell
David Mitchell was an American scenic designer renowned for his work on numerous Broadway productions, television shows, and films.
-
C.
Ian Byatt
Ian Byatt is a British economist and former water industry regulator, best known for serving as the first Director General of Ofwat, the economic regulator of the water industry in England and Wales.
-
D.
Mitchell Burgess
Mitchell Burgess is an American television writer and producer best known for his work on the acclaimed HBO series *The Sopranos*.
-
E.
Ben Aaronovitch
Ben Aaronovitch is a British author and screenwriter best known for his urban fantasy "Rivers of London" series, which blends police procedural elements with magic in a contemporary London setting.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d187c8788190b9fc1ebc9a66a520 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b0db3f481909b5281c63cc32dd1 |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:10 p.m.