Triple
T1878564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Screw It, Let’s Do It |
E39799
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Virgin Books |
E209384
|
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: Virgin Books | Statement: [Screw It, Let’s Do It, publisher, Virgin Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virgin Books Context triple: [Screw It, Let’s Do It, publisher, Virgin Books]
-
A.
Virgin Books
chosen
Virgin Books is a British publishing imprint associated with Richard Branson’s Virgin Group, known for releasing a range of non-fiction, biographies, and entertainment-related titles.
-
B.
Arrow Books
Arrow Books is a British publishing imprint of Cornerstone, part of Penguin Random House UK, known for releasing popular commercial fiction and non-fiction titles.
-
C.
Pantheon Books
Pantheon Books is an American publishing imprint known for releasing influential works in politics, history, and critical theory.
-
D.
Tor Books
Tor Books is a major American science fiction and fantasy publishing imprint known for releasing influential genre novels and series.
-
E.
Picador
Picador is a British publishing imprint known for its literary fiction, quality non-fiction, and prize-winning contemporary authors.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f8e9f08190a210440823fad69e |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeae44f6c8190a5924609863030a4 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:34 p.m.