Triple
T38371900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Kaluuya as Fred Hampton |
E892606
|
entity |
| Predicate | portraysPoliticalAffiliation |
P106041
|
FINISHED |
| Object | Black Panther Party |
—
|
NE NERFINISHED |
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: Black Panther Party | Statement: [Daniel Kaluuya as Fred Hampton, portraysPoliticalAffiliation, Black Panther Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysPoliticalAffiliation Context triple: [Daniel Kaluuya as Fred Hampton, portraysPoliticalAffiliation, Black Panther Party]
-
A.
portrayedByPoliticalParty
Indicates that a political party is responsible for depicting, representing, or presenting a particular entity in a political or public context.
-
B.
holderPoliticalAffiliation
Indicates that a person or officeholder is associated with or belongs to a particular political party or ideology.
-
C.
partnerPoliticalAffiliation
Indicates that one entity has a political affiliation that is associated with, or shared by, its partner entity.
-
D.
depictsPoliticalParty
chosen
Indicates that one entity visually represents or portrays a political party in some form.
-
E.
designerPoliticalAffiliation
Indicates the political party, ideology, or affiliation associated with a designer.
- 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffc704e1e88190884928a6a5c55a87 |
completed | May 9, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69ffc6b483d881908ad872e25fa6abc5 |
completed | May 9, 2026, 11:43 p.m. |
Created at: May 3, 2026, 4:31 p.m.