Triple
T23730318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Chinaski |
E586392
|
entity |
| Predicate | firstNovelAppearance |
P115164
|
FINISHED |
| Object | Post Office |
—
|
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: Post Office | Statement: [Henry Chinaski, firstNovelAppearance, Post Office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstNovelAppearance Context triple: [Henry Chinaski, firstNovelAppearance, Post Office]
-
A.
firstAppearanceBook
chosen
Indicates the book in which an entity (such as a character or concept) is first introduced or appears.
-
B.
firstMajorLiteraryAppearanceAuthor
Indicates the author responsible for the work in which an entity made its first major literary appearance.
-
C.
firstMagazineAppearance
Indicates that an entity made its debut or earliest known appearance in a particular magazine.
-
D.
firstAppearanceAct
Indicates the act in which an entity makes its first appearance within a work or performance.
-
E.
firstAppearedInWorkBy
Indicates that an entity made its first appearance within a specific work created by a particular author or creator.
- F. None of above.
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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b9180bf48190a6c3656ef0530463 |
completed | April 29, 2026, 7:54 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:09 p.m.