Triple
T34672295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Decimation |
E890406
|
entity |
| Predicate | firstDepictedInYear |
P118570
|
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: [The Decimation, firstDepictedInYear, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstDepictedInYear Context triple: [The Decimation, firstDepictedInYear, 2018]
-
A.
firstPublicationYearOfAppearance
Indicates the year in which an entity (such as a work or character) first appeared in a published form.
-
B.
yearOfFirstApparition
Indicates the calendar year in which the entity first appeared or was introduced.
-
C.
firstShowYear
Indicates the year in which something (such as a show, event, or work) was first presented or made publicly available.
-
D.
firstPortrayedBy
Indicates that the subject character or role was originally depicted or played by the specified performer for the first time.
-
E.
releaseYearOfDepiction
chosen
Indicates the year in which the depicted event, scene, or representation was released or first made publicly available.
- 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2:05 a.m.