Triple
T19907074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Group f/64 |
E478446
|
entity |
| Predicate | emphasizedSubject |
P17414
|
FINISHED |
| Object | American landscape |
—
|
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: American landscape | Statement: [Group f/64, emphasizedSubject, American landscape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizedSubject Context triple: [Group f/64, emphasizedSubject, American landscape]
-
A.
subjectOfIntroduction
Indicates that one entity is the topic or focus being introduced by another entity.
-
B.
notableStorySubject
Indicates that the subject is a prominent or central topic, character, or element within a particular story or narrative.
-
C.
hasEmphasis
chosen
Indicates that one element is given special stress, importance, or prominence relative to others.
-
D.
narrativeSubject
Indicates that an entity functions as the main subject or focal point within a narrative or story.
-
E.
positionEmphasized
Indicates that a particular position, stance, or role is given special prominence or stress relative to others.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6598cc5108190bca2a47c9f8ef70f |
completed | April 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.