Triple

T7147849
Position Surface form Disambiguated ID Type / Status
Subject Jill Stein E166613 entity
Predicate movement P81 FINISHED
Object Green politics E153690 NE 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: Green politics | Statement: [Jill Stein, movement, Green politics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green politics
Context triple: [Jill Stein, movement, Green politics]
  • A. GreenLeft
    GreenLeft is a Dutch left-wing political party known for its progressive, environmentalist, and social justice-oriented platform.
  • B. Europe Ecology – The Greens
    Europe Ecology – The Greens is a French green political party focused on environmentalism, social justice, and pro-European policies.
  • C. Green Philosophy
    Green Philosophy is a book by Roger Scruton that offers a conservative, tradition-based approach to environmentalism and ecological responsibility.
  • D. Global Greens chosen
    Global Greens is an international network of green political parties and movements that promotes environmental sustainability, social justice, and grassroots democracy worldwide.
  • E. Greens
    The Greens were one of the major chariot racing factions in ancient Rome, known for their passionate supporters and fierce rivalry with other teams such as the Blues.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7d6313c8190bdd34e700fc65502 completed March 27, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ada513388190a02a3733bfedf0f7 completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:46 p.m.