Triple
T23992618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen West |
E605105
|
entity |
| Predicate | alsoKnownAsRealAuthor |
P154536
|
FINISHED |
| Object | Dean Ray Koontz |
—
|
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: Dean Ray Koontz | Statement: [Owen West, alsoKnownAsRealAuthor, Dean Ray Koontz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoKnownAsRealAuthor Context triple: [Owen West, alsoKnownAsRealAuthor, Dean Ray Koontz]
-
A.
alsoKnownAs
Indicates that one entity is an alternative name, alias, or designation for another entity.
-
B.
hasAuthorAlsoKnownFor
Indicates that the author of a work is additionally recognized or notable for another specific work, role, or achievement.
-
C.
workByAuthorAlsoKnownFor
Indicates that a work is created by an author who is also notably recognized for another specified work or contribution.
-
D.
basedOnAuthorPseudonym
Indicates that something is derived from, inspired by, or determined using an author's pseudonym rather than their real name.
-
E.
authorOfAlso
Indicates that an entity is also an author of another specified work or item, in addition to any primary authorship already indicated.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38ce7fc8190a488991b6f61416b |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:37 p.m.