Triple
T1800399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robot series |
E39703
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Del Rey Books |
E19006
|
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: Del Rey Books | Statement: [Robot series, publisher, Del Rey Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Del Rey Books Context triple: [Robot series, publisher, Del Rey Books]
-
A.
Del Rey Books
chosen
Del Rey Books is a prominent American publishing imprint best known for its science fiction and fantasy titles.
-
B.
Hyperion Books
Hyperion Books is an American publishing imprint, originally founded by The Walt Disney Company, known for releasing a wide range of popular fiction and non-fiction titles.
-
C.
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.
-
D.
Henry Holt and Company
Henry Holt and Company is a long-established American publishing house known for its wide range of literary, nonfiction, and academic titles.
-
E.
Doubleday
Doubleday is a major American publishing company known for releasing a wide range of influential fiction and nonfiction books.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa656ad5d4819090e677ad137b0cd1 |
completed | March 6, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5d8da888190a88f3bd8036e19f4 |
completed | March 8, 2026, 5:46 p.m. |
Created at: March 4, 2026, 7:32 p.m.