Triple
T11453440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citizen King |
E271460
|
entity |
| Predicate | associatedWithSocialImage |
P99650
|
FINISHED |
| Object | king as ordinary citizen |
—
|
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: king as ordinary citizen | Statement: [Citizen King, associatedWithSocialImage, king as ordinary citizen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithSocialImage Context triple: [Citizen King, associatedWithSocialImage, king as ordinary citizen]
-
A.
socialMediaPlatformAssociatedWith
Indicates that there is an association or linkage between an entity and a specific social media platform.
-
B.
sponsorAssociatedWith
Indicates a relationship where a sponsor is connected to, involved with, or responsible for supporting another entity.
-
C.
photosLinkedBy
Indicates that two or more photos are connected or associated with each other through a common link, such as shared content, context, or reference.
-
D.
socialMediaAppearance
Indicates that an entity is featured, mentioned, or otherwise present in a piece of content on a social media platform.
-
E.
deFactoLinkedWith
Indicates that two entities are informally or practically associated or connected, even if there is no official or legally recognized relationship between them.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f2138081909408c7916cef99c9 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:35 p.m.