Triple
T6997583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Long |
E162254
|
entity |
| Predicate | creativeWorkSubject |
P4941
|
FINISHED |
| Object | rock climbing |
—
|
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: rock climbing | Statement: [John Long, creativeWorkSubject, rock climbing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creativeWorkSubject Context triple: [John Long, creativeWorkSubject, rock climbing]
-
A.
notableWorkSubject
chosen
Indicates that a work is notably associated with a particular subject, such as a person, topic, or entity, as its primary focus or theme.
-
B.
subjectOfFilm
Indicates that a person, character, or topic is the main focus or central topic depicted in a particular film.
-
C.
creativeWorkType
Indicates the specific category or form of a creative work (such as book, movie, painting, or song) that characterizes the relationship.
-
D.
depictedSubject
Indicates that one entity visually represents or portrays another entity as its subject in an image or depiction.
-
E.
mayBeSubjectOf
Indicates that an entity has the potential or possibility to serve as the subject in a given relation, event, or statement.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbeef57881909245c8a5374a8111 |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c4a18881908d267137daed828b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.