Triple
T36666544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Savage |
E905279
|
entity |
| Predicate | novelAuthors |
P186145
|
FINISHED |
| Object | Beirne Lay Jr. |
—
|
NE NERFINISHED |
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: Beirne Lay Jr. | Statement: [Frank Savage, novelAuthors, Beirne Lay Jr.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: novelAuthors Context triple: [Frank Savage, novelAuthors, Beirne Lay Jr.]
-
A.
bookAuthors
Indicates the relationship between a book and the person or people who authored it.
-
B.
novelBy
Indicates that a given novel is authored or written by a specified person or entity.
-
C.
literaryAuthor
Indicates that one entity is the author or writer of a literary work represented by the other entity.
-
D.
favoriteAuthor
Indicates that one entity is the author whom another entity prefers above all others.
-
E.
famousWriterAssociated
Indicates a relationship where a well-known or renowned writer is connected or linked to a particular entity (such as a work, place, event, or organization).
- F. None of above. chosen
Provenance (4 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_69f76e6f10008190aea41746aa1b186e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:12 p.m.