Triple
T6516883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Unmaking of a Mayor |
E148286
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Regnery Publishing |
E143777
|
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: Regnery Publishing | Statement: [The Unmaking of a Mayor, publisher, Regnery Publishing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regnery Publishing Context triple: [The Unmaking of a Mayor, publisher, Regnery Publishing]
-
A.
Regnery Publishing
chosen
Regnery Publishing is a prominent American conservative book publisher known for releasing influential right-leaning political and historical works.
-
B.
Harper & Row
Harper & Row was a major American publishing house known for producing influential works in literature, education, and academic scholarship.
-
C.
Pantheon Books
Pantheon Books is an American publishing imprint known for releasing influential works in politics, history, and critical theory.
-
D.
Mysterious Press
Mysterious Press is a publishing imprint specializing in mystery, crime, and suspense fiction.
-
E.
World Publishing Company
World Publishing Company was a prominent American book publisher known for producing a wide range of trade and literary titles in the mid-20th century.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac0ece2081909c14accef90efd7c |
completed | March 27, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5156e848190a6616497708d421c |
completed | March 27, 2026, 7:05 p.m. |
Created at: March 27, 2026, 1:44 p.m.