Triple
T11984810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Teavee |
E285249
|
entity |
| Predicate | bookPublicationYearOfFirstAppearance |
P78407
|
FINISHED |
| Object | 1964 |
—
|
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: 1964 | Statement: [Mike Teavee, bookPublicationYearOfFirstAppearance, 1964]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookPublicationYearOfFirstAppearance Context triple: [Mike Teavee, bookPublicationYearOfFirstAppearance, 1964]
-
A.
firstPublicationYearOfAppearance
chosen
Indicates the year in which an entity (such as a work or character) first appeared in a published form.
-
B.
firstPublishedInWorkYear
Indicates the year in which a work was first published.
-
C.
firstBookPublicationDate
Indicates the calendar date on which an entity’s first book was officially published.
-
D.
firstCompletePublicationYear
Indicates the calendar year in which an entity’s first complete publication was released.
-
E.
firstAppearancePublisher
Indicates the publisher responsible for releasing an entity’s first appearance.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903acbb9081908fe7f8360057785c |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.