Triple
T197847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guns, Germs, and Steel |
E4036
|
entity |
| Predicate | documentaryReleaseYear |
P8093
|
FINISHED |
| Object | 2005 |
—
|
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: 2005 | Statement: [Guns, Germs, and Steel, documentaryReleaseYear, 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentaryReleaseYear Context triple: [Guns, Germs, and Steel, documentaryReleaseYear, 2005]
-
A.
discoveryYear
Indicates the calendar year in which something was first discovered or identified.
-
B.
worldPremiereYear
Indicates the calendar year in which a work, event, or production was first publicly premiered anywhere in the world.
-
C.
adaptationReleaseYear
Indicates the year in which an adaptation of a work was released.
-
D.
capturedYear
Indicates the year in which an entity was captured or taken into custody.
-
E.
commissionedYear
Indicates the year in which something (typically a work, project, or item) was formally ordered, authorized, or put into production.
- F. None of above. chosen
Provenance (4 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25be47ea881909c296b30a0d47a65 |
completed | Feb. 28, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69a25b47481c8190add47c641c977bb9 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25be349588190aedde33d80682344 |
completed | Feb. 28, 2026, 3:07 a.m. |
Created at: Feb. 28, 2026, 2:44 a.m.