Triple
T4211339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerry Adams |
E93907
|
entity |
| Predicate | hasPhotoCollection |
P4142
|
FINISHED |
| Object | Gerry Adams speaking at political events |
—
|
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: Gerry Adams speaking at political events | Statement: [Gerry Adams, hasPhotoCollection, Gerry Adams speaking at political events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhotoCollection Context triple: [Gerry Adams, hasPhotoCollection, Gerry Adams speaking at political events]
-
A.
hasPhotograph
Indicates that one entity possesses, includes, or is associated with a photograph depicting or representing another entity.
-
B.
hasPhotoSpot
Indicates that a location or entity includes or is associated with a designated place suitable for taking photographs.
-
C.
hasGallery
chosen
Indicates that one entity possesses, contains, or is associated with a gallery, such as a collection or display space.
-
D.
hasPhotographicSeries
Indicates that one entity is associated with, or is the subject of, a specific photographic series created or maintained by another entity.
-
E.
hasPhotographicRecordSince
Indicates that a photographic record of an entity has existed continuously since a specified point in time.
- 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e098da881909a0cc339cc186627 |
completed | March 12, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69b347efd9b08190bb50f82e4e7fe06d |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:04 p.m.