Triple
T28573086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thought and Language |
E723162
|
entity |
| Predicate | notableEnglishEditionYear |
P24631
|
FINISHED |
| Object | 1962 |
—
|
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: 1962 | Statement: [Thought and Language, notableEnglishEditionYear, 1962]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEnglishEditionYear Context triple: [Thought and Language, notableEnglishEditionYear, 1962]
-
A.
notableEditionYear
Indicates the year in which a particular edition of something (such as a work, product, or publication) is considered notable or significant.
-
B.
notableEdition
Indicates that a particular edition or version of a work is especially significant or noteworthy in relation to that work.
-
C.
EnglishEditionPublicationYear
chosen
Indicates the calendar year in which the English-language edition of a work was first published.
-
D.
correctedEditionYear
Indicates the year in which a corrected or revised edition of a work was published or released.
-
E.
firstBookEnglishPublicationYear
Indicates the calendar year in which an entity’s first book was originally published in English.
- 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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a013a251b4081908b43d85dd95586c5 |
completed | May 11, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_6a0137e4ea988190812173a5ff044098 |
completed | May 11, 2026, 1:59 a.m. |
Created at: April 28, 2026, 4:11 a.m.