Triple
T13978474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Speak of Freedom |
E336245
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
Praeger
Praeger is an American academic and professional publishing company known for its books in the social sciences, humanities, and public policy.
|
E1072235
|
NE FINISHED |
How this triple was built (4 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: Praeger | Statement: [I Speak of Freedom, publisher, Praeger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Praeger Context triple: [I Speak of Freedom, publisher, Praeger]
-
A.
Praeger
Praeger is a surname of Irish origin borne by various notable individuals and families.
-
B.
M. E. Sharpe
M. E. Sharpe is an academic publishing company known for its scholarly books and journals in the social sciences and humanities.
-
C.
Westview Press
Westview Press is an academic publishing imprint known for producing scholarly and educational books, particularly in the social sciences and humanities.
-
D.
University Press of America
University Press of America is an academic publishing imprint known for producing scholarly and educational books across a wide range of disciplines.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Praeger Triple: [I Speak of Freedom, publisher, Praeger]
Generated description
Praeger is an American academic and professional publishing company known for its books in the social sciences, humanities, and public policy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Praeger Target entity description: Praeger is an American academic and professional publishing company known for its books in the social sciences, humanities, and public policy.
-
A.
Praeger
Praeger is a surname of Irish origin borne by various notable individuals and families.
-
B.
M. E. Sharpe
M. E. Sharpe is an academic publishing company known for its scholarly books and journals in the social sciences and humanities.
-
C.
Westview Press
Westview Press is an academic publishing imprint known for producing scholarly and educational books, particularly in the social sciences and humanities.
-
D.
University Press of America
University Press of America is an academic publishing imprint known for producing scholarly and educational books across a wide range of disciplines.
-
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. chosen
Provenance (5 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e9fc7248190a9f26e253286ac3c |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1e3cafc8190a1806a29b2e46ae9 |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba74a96b08190a08c51c231e49e5d |
completed | May 6, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba8585fb08190998d6a005dc0bd31 |
completed | May 6, 2026, 8:45 p.m. |
Created at: April 9, 2026, 10:18 p.m.