Triple
T1531263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Structure and Interpretation of Computer Programs |
E32447
|
entity |
| Predicate | secondEditionPublicationYear |
P19561
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [Structure and Interpretation of Computer Programs, secondEditionPublicationYear, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondEditionPublicationYear Context triple: [Structure and Interpretation of Computer Programs, secondEditionPublicationYear, 1996]
-
A.
publicationYearOfSecondEdition
chosen
Indicates the year in which the second edition of a work was published.
-
B.
secondGenerationStartYear
Indicates the calendar year in which the second generation of something (e.g., a product, model, or series) begins.
-
C.
secondGenerationReleaseDate
Indicates the date on which the second generation or version of an item was officially released.
-
D.
secondSeasonCoversPeriod
Indicates that the second season of a series or show portrays, is set in, or narratively spans a specific time period or historical interval.
-
E.
firstEditionPublicationYear
Indicates the year in which an entity’s first edition was originally 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.