Triple
T22038309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hands Up |
E544270
|
entity |
| Predicate | hasPoliticalMessage |
P109963
|
FINISHED |
| Object | anti‑racism |
—
|
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: anti‑racism | Statement: [Hands Up, hasPoliticalMessage, anti‑racism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalMessage Context triple: [Hands Up, hasPoliticalMessage, anti‑racism]
-
A.
hasPoliticalComponent
chosen
Indicates that something includes, involves, or is influenced by political factors, interests, or considerations.
-
B.
hasPoliticalDialogue
Indicates that there is an exchange or interaction between entities involving political topics, issues, or negotiations.
-
C.
hasPoliticalCharacteristic
Indicates that an entity possesses a specific political attribute, quality, or affiliation.
-
D.
hasPoliticalCurrent
Indicates that an entity is associated with, aligned to, or characterized by a particular political current, ideology, or movement.
-
E.
hasPoliticalSignificanceAs
Indicates that something holds a particular kind or role of political importance or relevance in relation to another entity or context.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f42b48819095b04bad34e0e3c4 |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:25 p.m.