Triple
T8529746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wiley B. Rutledge |
E201913
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Wiley |
E311386
|
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: Wiley | Statement: [Wiley B. Rutledge, givenName, Wiley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiley Context triple: [Wiley B. Rutledge, givenName, Wiley]
-
A.
Wiley
chosen
Wiley is a masculine given name, often associated with notable American figures such as aviator Wiley Post.
-
B.
McGraw-Hill
McGraw-Hill is a major American educational publishing company known for producing textbooks and academic resources across a wide range of disciplines.
-
C.
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.
-
D.
Jossey-Bass
Jossey-Bass is an American publishing imprint known for its books on business, leadership, education, and nonprofit management.
-
E.
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.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe67409f08190b20d13d26e9a362c |
completed | March 31, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d5e5b58819095c1c915dfe27b52 |
completed | April 2, 2026, 1:21 p.m. |
Created at: March 30, 2026, 6:17 p.m.