Triple
T36541183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefe Máximo |
E901026
|
entity |
| Predicate | politicalPowerType |
P198744
|
FINISHED |
| Object | behind-the-scenes leadership |
—
|
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: behind-the-scenes leadership | Statement: [Jefe Máximo, politicalPowerType, behind-the-scenes leadership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalPowerType Context triple: [Jefe Máximo, politicalPowerType, behind-the-scenes leadership]
-
A.
politicalPowerInfluencedBy
Indicates that the extent or nature of an entity’s political power is shaped, affected, or determined by another entity or factor.
-
B.
powerClassification
Indicates how an entity’s power, strength, or influence is categorized or ranked within a defined system.
-
C.
typeOfPolity
Indicates that one entity is a political unit and the other specifies the kind or classification of that polity (e.g., empire, kingdom, republic).
-
D.
politicalEntityTypeRuled
Indicates the type or category of political entity over which a ruler or governing authority exercises control or sovereignty.
-
E.
politicalForm
Indicates the type or structure of governance or political organization that characterizes an entity.
- F. None of above. chosen
Provenance (4 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_69f76e61217081908b79d610fe67b013 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
| PDg | Predicate description generation | batch_69ff02141dbc8190b00bcea2aa734b3a |
completed | May 9, 2026, 9:44 a.m. |
Created at: May 3, 2026, 4:11 p.m.