Triple
T6521236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Handful of Dust |
E151186
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Chapman and Hall |
E98684
|
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: Chapman and Hall | Statement: [A Handful of Dust, publisher, Chapman and Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chapman and Hall Context triple: [A Handful of Dust, publisher, Chapman and Hall]
-
A.
Chapman and Hall
chosen
Chapman and Hall was a prominent 19th-century British publishing house best known for issuing works by major Victorian authors such as Charles Dickens and Anthony Trollope.
-
B.
Van Nostrand
Van Nostrand was an American publishing company known for producing influential academic and professional works in fields such as psychology, science, and engineering.
-
C.
Routledge & Kegan Paul
Routledge & Kegan Paul was a prominent British academic and philosophical publishing house known for issuing influential works in the humanities and social sciences.
-
D.
Wiley
Wiley is a masculine given name, often associated with notable American figures such as aviator Wiley Post.
-
E.
Cambridge University Press
Cambridge University Press is the publishing business of the University of Cambridge and one of the world’s oldest and most prestigious academic and educational publishers.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad9431f081909b14b3df3414a55f |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb6f934481908a95d7424aa23414 |
completed | March 27, 2026, 6:24 p.m. |
Created at: March 27, 2026, 1:45 p.m.