Triple
T10632406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Kincaid |
E250489
|
entity |
| Predicate | primaryActivityInStory |
P76976
|
FINISHED |
| Object | photographing covered bridges |
—
|
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: photographing covered bridges | Statement: [Robert Kincaid, primaryActivityInStory, photographing covered bridges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryActivityInStory Context triple: [Robert Kincaid, primaryActivityInStory, photographing covered bridges]
-
A.
primaryContent
Indicates that one entity serves as the main or most important content associated with another entity.
-
B.
primaryEngagement
chosen
Indicates the main or most significant interaction, involvement, or relationship that an entity has with another entity or activity.
-
C.
primaryUseInFeed
Indicates that something is the main or most common way an item is used or presented within a feed.
-
D.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
-
E.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df95f5e88190b34ce3ec972759ef |
completed | April 8, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69d6dd83b114819098e84dc658e82d7e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:02 p.m.