Triple
T35867167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timeline franchise |
E1037117
|
entity |
| Predicate | firstPublicationYearOfOriginalNovel |
P110890
|
FINISHED |
| Object | 1999 |
—
|
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: 1999 | Statement: [Timeline franchise, firstPublicationYearOfOriginalNovel, 1999]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublicationYearOfOriginalNovel Context triple: [Timeline franchise, firstPublicationYearOfOriginalNovel, 1999]
-
A.
novelReleaseYear
chosen
Indicates the calendar year in which a novel was first released or published.
-
B.
firstChapterPublicationYear
Indicates the year in which the first chapter of a work was originally published.
-
C.
workOfFictionStartDate
Indicates the date on which a work of fiction was first created, published, released, or otherwise began to exist as a distinct fictional work.
-
D.
firstBookEnglishPublicationYear
Indicates the calendar year in which an entity’s first book was originally published in English.
-
E.
lastOriginalEditionYear
Indicates the calendar year in which the work’s most recent original (non-revised) edition was first 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_69f76e1d279c8190843e5b64a0a12c3f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.