Triple
T2941885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wiley Post |
E79405
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Wiley
Wiley is a masculine given name, often associated with notable American figures such as aviator Wiley Post.
|
E311386
|
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: Wiley | Statement: [Wiley Post, givenName, Wiley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiley Context triple: [Wiley Post, givenName, Wiley]
-
A.
McGraw-Hill
McGraw-Hill is a major American educational publishing company known for producing textbooks and academic resources across a wide range of disciplines.
-
B.
Wiley-Blackwell
Wiley-Blackwell is a major academic and professional publishing company known for producing scholarly journals and books across a wide range of disciplines.
-
C.
Jossey-Bass
Jossey-Bass is an American publishing imprint known for its books on business, leadership, education, and nonprofit management.
-
D.
Chapman and Hall
Chapman and Hall was a prominent 19th-century British publishing house best known for issuing works by major Victorian authors such as Charles Dickens and Anthony Trollope.
-
E.
W. H. Freeman and Company
W. H. Freeman and Company is an academic publishing house best known for producing influential college-level science and mathematics textbooks.
- 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: Wiley Triple: [Wiley Post, givenName, Wiley]
Generated description
Wiley is a masculine given name, often associated with notable American figures such as aviator Wiley Post.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wiley Target entity description: Wiley is a masculine given name, often associated with notable American figures such as aviator Wiley Post.
-
A.
McGraw-Hill
McGraw-Hill is a major American educational publishing company known for producing textbooks and academic resources across a wide range of disciplines.
-
B.
Wiley-Blackwell
Wiley-Blackwell is a major academic and professional publishing company known for producing scholarly journals and books across a wide range of disciplines.
-
C.
Jossey-Bass
Jossey-Bass is an American publishing imprint known for its books on business, leadership, education, and nonprofit management.
-
D.
Chapman and Hall
Chapman and Hall was a prominent 19th-century British publishing house best known for issuing works by major Victorian authors such as Charles Dickens and Anthony Trollope.
-
E.
W. H. Freeman and Company
W. H. Freeman and Company is an academic publishing house best known for producing influential college-level science and mathematics textbooks.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9870e5d08190b3b277ba823fe6a1 |
completed | March 8, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b08689ec3481909d9f039069ff19c7 |
completed | March 10, 2026, 9 p.m. |
| NEDg | Description generation | batch_69b0d241c7088190b440a47f4af54fbb |
completed | March 11, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0d6466e848190bea4215cc9d358c7 |
completed | March 11, 2026, 2:41 a.m. |
Created at: March 8, 2026, 2:56 p.m.