Triple
T1730836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gift from the Sea |
E37805
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Pantheon Books |
E7019
|
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: Pantheon Books | Statement: [Gift from the Sea, publisher, Pantheon Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pantheon Books Context triple: [Gift from the Sea, publisher, Pantheon Books]
-
A.
Pantheon Books
chosen
Pantheon Books is an American publishing imprint known for releasing influential works in politics, history, and critical theory.
-
B.
Metropolitan Books
Metropolitan Books is an American publishing imprint known for releasing influential and often politically engaged nonfiction works by prominent intellectuals and public thinkers.
-
C.
The Viking Press
The Viking Press is an American publishing company known for releasing influential literary works by prominent authors throughout the 20th century.
-
D.
Signet Books
Signet Books is an American paperback publishing imprint known for releasing popular fiction and genre titles, including works by major authors such as Stephen King.
-
E.
Mariner Books
Mariner Books is a publishing imprint known for producing a wide range of literary fiction, nonfiction, and classic reprints.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63804cd48190aef5e0f231600e58 |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5c065088190b831c65ae55eed14 |
completed | March 8, 2026, 5:45 p.m. |
Created at: March 4, 2026, 7:30 p.m.