Triple
T11337991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annie Graham |
E268519
|
entity |
| Predicate | associatedWorkReleaseYear |
P30914
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Annie Graham, associatedWorkReleaseYear, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWorkReleaseYear Context triple: [Annie Graham, associatedWorkReleaseYear, 2018]
-
A.
workReleaseYear
chosen
Indicates the calendar year in which a work (such as a book, film, or album) was first released or made publicly available.
-
B.
previousWorkReleaseYear
Indicates the year in which an earlier or prior work in a sequence or related set was released.
-
C.
createdForWorkReleasedInYear
Indicates that something was created specifically for a work that was released in a particular year.
-
D.
spinOffWorkReleaseYear
Indicates the year in which a spin-off work derived from an original work was released.
-
E.
notableWorkYear
Indicates the year in which a notable work associated with an entity was created, released, or achieved prominence.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea008b5081908e6c6c6fc29ef936 |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:33 p.m.