Triple
T22944265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Happy Companies Are Different |
E569821
|
entity |
| Predicate | publicationYearOfContainingBook |
P25
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [All Happy Companies Are Different, publicationYearOfContainingBook, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationYearOfContainingBook Context triple: [All Happy Companies Are Different, publicationYearOfContainingBook, 2014]
-
A.
publicationYear
chosen
Indicates the specific calendar year in which a work was formally published or released.
-
B.
editionPublicationYear
Indicates the calendar year in which a particular edition of a work was published.
-
C.
proseEditionPublicationYear
Indicates the year in which a particular prose edition of a work was published.
-
D.
expandedBookPublicationYear
Indicates the year in which an expanded or revised edition of a book was published.
-
E.
lastPublicationYear
Indicates the year in which an entity’s most recent publication was released.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819c696c8190977bd2bca01509bc |
completed | April 29, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:45 p.m.