Triple
T6898580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heinemann |
E159434
|
entity |
| Predicate | hasImprint |
P2763
|
FINISHED |
| Object | Heinemann Library |
E159434
|
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: Heinemann Library | Statement: [Heinemann, hasImprint, Heinemann Library]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heinemann Library Context triple: [Heinemann, hasImprint, Heinemann Library]
-
A.
Heinemann publishing group
chosen
Heinemann publishing group is a British publishing company known for its literary fiction, educational materials, and classic literature imprints.
-
B.
Bodley Head
Bodley Head is a British publishing house known for its literary fiction, non-fiction, and classic works.
-
C.
Bloomsbury
Bloomsbury is a central London district renowned for its literary heritage, academic institutions, and garden squares.
-
D.
Camden House
Camden House is a teaching and administrative building that forms part of the University College Birmingham city-centre campus.
-
E.
Cassell
Cassell is a British publishing company known for producing a wide range of books, including notable historical works and reference titles.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d95d67448190857f36b8115b03f6 |
completed | March 27, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748eb23888190bca6e42dc03ab31b |
completed | March 28, 2026, 3:20 a.m. |
Created at: March 27, 2026, 2:24 p.m.