Triple
T467627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | So Long, and Thanks for All the Fish |
E8483
|
entity |
| Predicate | originalPublisher |
P1760
|
FINISHED |
| Object | Pan Books |
E12977
|
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: Pan Books | Statement: [So Long, and Thanks for All the Fish, originalPublisher, Pan Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pan Books Context triple: [So Long, and Thanks for All the Fish, originalPublisher, Pan Books]
-
A.
Pan Books
chosen
Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
-
B.
Pocket Books
Pocket Books is a long-running American mass-market paperback publisher known for popular fiction and non-fiction titles, operating as an imprint of Simon & Schuster.
-
C.
Gallery Books
Gallery Books is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles, including bestsellers and works by popular contemporary authors.
-
D.
Howard Books
Howard Books is a Christian and inspirational book publishing imprint of Simon & Schuster.
-
E.
Times Books
Times Books is a publishing imprint known for producing nonfiction works, particularly in the fields of history, politics, and current affairs.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efd9bea081909ee782840f3da12b |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a45802334881908eb49c09f68c1a22 |
completed | March 1, 2026, 3:15 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.