Triple
T14730426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Majestyk |
E346053
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Dell Publishing |
E718408
|
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: Dell Publishing | Statement: [Mr. Majestyk, publisher, Dell Publishing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dell Publishing Context triple: [Mr. Majestyk, publisher, Dell Publishing]
-
A.
Dell Publishing
chosen
Dell Publishing is a major American book publisher best known for its mass-market paperbacks and genre fiction titles.
-
B.
Ziff-Davis Publishing Company
Ziff-Davis Publishing Company is an American media and publishing firm best known for its influential magazines in science fiction, technology, and computing.
-
C.
West Publishing Company
West Publishing Company is a major American legal publishing firm best known for producing comprehensive case law reporters, legal digests, and research tools used by lawyers and courts.
-
D.
EMC Publishing
EMC Publishing is an educational publishing imprint known for producing K–12 and higher education instructional materials, now operating under the Cengage Learning umbrella.
-
E.
Gale Group
Gale Group is a major publisher and aggregator of research, educational, and reference content for libraries, schools, and businesses.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26311c8819093a81ff0fa43b33b |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb89ea388190b356df74e36023f7 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.