Triple
T36382458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nat Jaffe |
E896081
|
entity |
| Predicate | firstPublicationYearOfWorkHeAppearsIn |
P60473
|
FINISHED |
| Object | 2012 |
—
|
LITERAL 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: 2012 | Statement: [Nat Jaffe, firstPublicationYearOfWorkHeAppearsIn, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublicationYearOfWorkHeAppearsIn Context triple: [Nat Jaffe, firstPublicationYearOfWorkHeAppearsIn, 2012]
-
A.
firstPublishedInWorkYear
chosen
Indicates the year in which a work was first published.
-
B.
appearsInPublicationYear
Indicates that an entity is featured in a publication that was released in a specific year.
-
C.
yearOfWorkPublicationStart
Indicates the calendar year in which a given work was first published or made publicly available.
-
D.
firstAppearedInWorkBy
Indicates that an entity made its first appearance within a specific work created by a particular author or creator.
-
E.
debutWorkReleaseYear
Indicates the calendar year in which an entity’s first published or publicly released work originally came out.
- 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_69f76e51d358819092bbc5f119f49476 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.