Triple
T19399623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love and a Question |
E485282
|
entity |
| Predicate | publisherOfFirstCollection |
P7323
|
FINISHED |
| Object | David Nutt |
—
|
NE NERFINISHED |
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 Nutt | Statement: [Love and a Question, publisherOfFirstCollection, David Nutt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Nutt Context triple: [Love and a Question, publisherOfFirstCollection, David Nutt]
-
A.
David Nutt
chosen
David Nutt was a prominent 19th-century London publisher and bookseller known for issuing literary, scholarly, and folkloric works.
-
B.
David Nutt
David Nutt is a British neuropsychopharmacologist known for his research on the effects of drugs on the brain and for his outspoken views on drug policy.
-
C.
Douglas Ainslie
Douglas Ainslie is a mild-mannered, retired British man seeking a new start in India in the film "The Best Exotic Marigold Hotel," portrayed by Bill Nighy.
-
D.
Daniel Shere
Daniel Shere is a screenwriter best known for his work on the animated film "Epic."
-
E.
David Spritz
David Spritz is a beleaguered Chicago TV weatherman whose midlife crisis and strained family relationships drive the darkly comedic drama of the film "The Weather Man."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62575d78881909c2cfee799859261 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.