Triple
T1521967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Logo |
E32248
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
Picador
Picador is a British publishing imprint known for its literary fiction, quality non-fiction, and prize-winning contemporary authors.
|
E173854
|
NE FINISHED |
How this triple was built (4 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: Picador | Statement: [No Logo, publisher, Picador]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Picador Context triple: [No Logo, publisher, Picador]
-
A.
Penguin Books
Penguin Books is a major British publishing house known for its influential paperback editions and wide range of literary and non-fiction titles.
-
B.
Jonathan Cape
Jonathan Cape is a renowned British publishing house best known for issuing Ian Fleming’s James Bond novels and other major 20th-century literary works.
-
C.
Faber and Faber
Faber and Faber is a renowned independent British publishing house known for its influential catalog of literary fiction, poetry, and drama.
-
D.
Weidenfeld & Nicolson
Weidenfeld & Nicolson is a British publishing house known for its influential non-fiction and literary titles.
-
E.
Doubleday
Doubleday is a major American publishing company known for releasing a wide range of influential fiction and nonfiction books.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Picador Triple: [No Logo, publisher, Picador]
Generated description
Picador is a British publishing imprint known for its literary fiction, quality non-fiction, and prize-winning contemporary authors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Picador Target entity description: Picador is a British publishing imprint known for its literary fiction, quality non-fiction, and prize-winning contemporary authors.
-
A.
Penguin Books
Penguin Books is a major British publishing house known for its influential paperback editions and wide range of literary and non-fiction titles.
-
B.
Jonathan Cape
Jonathan Cape is a renowned British publishing house best known for issuing Ian Fleming’s James Bond novels and other major 20th-century literary works.
-
C.
Faber and Faber
Faber and Faber is a renowned independent British publishing house known for its influential catalog of literary fiction, poetry, and drama.
-
D.
Weidenfeld & Nicolson
Weidenfeld & Nicolson is a British publishing house known for its influential non-fiction and literary titles.
-
E.
Doubleday
Doubleday is a major American publishing company known for releasing a wide range of influential fiction and nonfiction books.
- F. None of above. chosen
Provenance (5 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907fe8b0c8190a765afd3a10ee5e0 |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad294f9e2481909f1d685d7f083c6a |
completed | March 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ad29f4edc48190b78a6df091e289ab |
completed | March 8, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2a78b9608190b70f8d0ae531618d |
completed | March 8, 2026, 7:51 a.m. |
Created at: March 4, 2026, 7:26 p.m.