Triple
T10465226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Funny Girl |
E246776
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Viking Books |
E60544
|
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: Viking Books | Statement: [Funny Girl, publisher, Viking Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viking Books Context triple: [Funny Girl, publisher, Viking Books]
-
A.
The Viking Press
chosen
The Viking Press is an American publishing company known for releasing influential literary works by prominent authors throughout the 20th century.
-
B.
Voyager Books
Voyager Books is a science fiction and fantasy imprint of HarperCollins known for publishing major genre authors and series.
-
C.
Pantheon Books
Pantheon Books is an American publishing imprint known for releasing influential works in politics, history, and critical theory.
-
D.
Mariner Books
Mariner Books is a publishing imprint known for producing a wide range of literary fiction, nonfiction, and classic reprints.
-
E.
Schocken Books
Schocken Books is a distinguished publishing imprint known for its focus on Jewish literature, philosophy, and cultural works.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50886c2a8819086da6c08356ec6bf |
completed | April 7, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fe6129881908c658ff977e68135 |
completed | April 10, 2026, 6:59 a.m. |
Created at: April 6, 2026, 12:19 p.m.