Triple
T9356387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The World According to Garp |
E225150
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Dutton |
E190641
|
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: Dutton | Statement: [The World According to Garp, publisher, Dutton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dutton Context triple: [The World According to Garp, publisher, Dutton]
-
A.
Dutton
chosen
Dutton is a long-established American book publishing imprint known for releasing a wide range of fiction and nonfiction titles, now operating under Penguin Random House.
-
B.
Dutton
Dutton is a small community located within Elgin County in southwestern Ontario, Canada.
-
C.
Spottiswoode
Spottiswoode is a surname most notably associated with British-Canadian film director Roger Spottiswoode.
-
D.
Blackwell
Blackwell is a surname of English origin borne by numerous notable individuals across fields such as music, politics, and academia.
-
E.
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.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4fee9d4c8190a7d121c9487ccca2 |
completed | April 1, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3d248a88190b7d17af66e2903c5 |
completed | April 4, 2026, 11:19 a.m. |
Created at: March 30, 2026, 7:42 p.m.