Triple
T9802872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stana Katic |
E237881
|
entity |
| Predicate | socialMediaProfile |
P20647
|
FINISHED |
| Object | https://twitter.com/Stana_Katic |
—
|
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: https://twitter.com/Stana_Katic | Statement: [Stana Katic, socialMediaProfile, https://twitter.com/Stana_Katic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialMediaProfile Context triple: [Stana Katic, socialMediaProfile, https://twitter.com/Stana_Katic]
-
A.
mediaProfile
Indicates a relationship where a media-related profile or account is associated with an entity, typically representing its presence or identity in media contexts.
-
B.
socialMedia
Indicates a relationship where one entity uses, is associated with, or interacts through social networking or content-sharing platforms with another entity.
-
C.
socialMediaPlatformAssociatedWith
chosen
Indicates that there is an association or linkage between an entity and a specific social media platform.
-
D.
socialType
Indicates the category or nature of a social relationship or interaction that exists between entities.
-
E.
socialBase
Indicates a foundational social relationship or structure that underlies or supports interactions between entities.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab78832481909b184b21a8a46e50 |
completed | April 1, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:29 p.m.