Triple
T13786838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ecco |
E331280
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | HarperCollins imprints |
E65842
|
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: HarperCollins imprints | Statement: [Ecco, partOf, HarperCollins imprints]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HarperCollins imprints Context triple: [Ecco, partOf, HarperCollins imprints]
-
A.
HarperCollins
chosen
HarperCollins is a major global publishing company known for producing a wide range of fiction, non-fiction, and educational books.
-
B.
Harper Perennial
Harper Perennial is an imprint of HarperCollins known for publishing contemporary literary fiction, nonfiction, and reissues of classic works in affordable paperback editions.
-
C.
Macmillan Publishers
Macmillan Publishers is a major global publishing company known for its wide range of academic, educational, and trade books and imprints.
-
D.
Penguin Random House
Penguin Random House is a major global trade book publisher known for its extensive catalog of fiction and nonfiction titles across numerous imprints.
-
E.
The Harvill Press
The Harvill Press is a British publishing house known for its high-quality literary fiction and translated works from around the world.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0249e4f88190a80316394940627d |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c7007d5c8190800456e32101903f |
completed | May 3, 2026, 10:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.