Triple
T17531051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phoenix |
E426931
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Hachette UK |
—
|
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: Hachette UK | Statement: [Phoenix, partOf, Hachette UK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hachette UK Context triple: [Phoenix, partOf, Hachette UK]
-
A.
Hachette UK
chosen
Hachette UK is a major British publishing group and one of the largest book publishers in the United Kingdom, encompassing numerous well-known imprints across a wide range of genres.
-
B.
Hachette Book Group
Hachette Book Group is a major U.S. trade publishing company and division of the French media conglomerate Hachette Livre, known for publishing a wide range of bestselling fiction and nonfiction titles.
-
C.
Hachette Livre
Hachette Livre is a major French publishing conglomerate and one of the largest book publishers in the world, encompassing numerous international imprints and publishing groups.
-
D.
Hodder & Stoughton
Hodder & Stoughton is a major British publishing house known for producing a wide range of fiction, non-fiction, and religious titles.
-
E.
HarperCollins
HarperCollins is a major global publishing company known for producing a wide range of fiction, non-fiction, and educational books.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e453688950819098162d853cd2674e |
completed | April 19, 2026, 4 a.m. |
Created at: April 10, 2026, 5:49 a.m.