Triple
T33912698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaws (James Bond character) |
E869360
|
entity |
| Predicate | yearOfSecondAppearance |
P125091
|
FINISHED |
| Object | 1979 |
—
|
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: 1979 | Statement: [Jaws (James Bond character), yearOfSecondAppearance, 1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfSecondAppearance Context triple: [Jaws (James Bond character), yearOfSecondAppearance, 1979]
-
A.
secondAppearanceYear
chosen
Indicates the year in which an entity made its second appearance or occurrence.
-
B.
secondSeasonPremiereYear
Indicates the calendar year in which the second season of a series first premiered.
-
C.
reappearsIn
Indicates that an entity that previously appeared becomes present or visible again in the same or another context.
-
D.
yearOfFirstApparition
Indicates the calendar year in which the entity first appeared or was introduced.
-
E.
firstPublicationYearOfAppearance
Indicates the year in which an entity (such as a work or character) first appeared in a published form.
- 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_69f3499869bc8190b6c33a81686af226 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
Created at: May 1, 2026, 1:48 a.m.