Triple
T15410220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doran Martell |
E368567
|
entity |
| Predicate | politicalStyle |
P2456
|
FINISHED |
| Object | long-term planner |
—
|
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: long-term planner | Statement: [Doran Martell, politicalStyle, long-term planner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalStyle Context triple: [Doran Martell, politicalStyle, long-term planner]
-
A.
politicalTendency
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
-
B.
politicalAttitude
Indicates an individual's stance, opinion, or orientation toward political issues, ideologies, or actors.
-
C.
politicalSpectrumPosition
Indicates the relative ideological placement of an entity along a political spectrum (e.g., left–right, liberal–conservative).
-
D.
politicalPattern
chosen
Indicates a recurring or characteristic way in which political behaviors, decisions, or power dynamics are organized or expressed.
-
E.
politicalSide
Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea4f13c819085d26fd32b5dca6f |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:20 a.m.