Triple
T1939749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Green Book |
E41524
|
entity |
| Predicate | secondPartPublicationYear |
P22690
|
FINISHED |
| Object | 1977 |
—
|
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: 1977 | Statement: [The Green Book, secondPartPublicationYear, 1977]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondPartPublicationYear Context triple: [The Green Book, secondPartPublicationYear, 1977]
-
A.
firstPartPublicationYear
chosen
Indicates the year in which the first part or installment of a multi-part publication was released.
-
B.
publicationYearOfSecondEdition
Indicates the year in which the second edition of a work was published.
-
C.
secondAlbumReleaseYear
Indicates the calendar year in which an entity’s second album was released.
-
D.
publicationYear
Indicates the specific calendar year in which a work was formally published or released.
-
E.
furtherPublicationYear
Indicates the year in which a subsequent or later edition, version, or related publication of an existing work was published.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2ca385c8190ad0e4bafbb9b5e5c |
completed | March 7, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69abaff07cf88190b4883c5f17f90abd |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.