Triple
T29397177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Knox as Woodrow Wilson |
E745530
|
entity |
| Predicate | portraysPoliticalParty |
P106041
|
FINISHED |
| Object | Democratic 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: Democratic Party | Statement: [Alexander Knox as Woodrow Wilson, portraysPoliticalParty, Democratic Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysPoliticalParty Context triple: [Alexander Knox as Woodrow Wilson, portraysPoliticalParty, Democratic 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.
depictsPoliticalParty
chosen
Indicates that one entity visually represents or portrays a political party in some form.
-
C.
politicalParty
Indicates that an entity is affiliated with, belongs to, or is a member of a specific political party.
-
D.
ledPoliticalParty
Indicates that one entity served as the leader or head of a particular political party.
-
E.
politicalPartyPromoting
Indicates that a political party actively supports, advocates for, or advances a particular person, policy, issue, or initiative.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: April 28, 2026, 2:47 p.m.