Triple

T19153938
Position Surface form Disambiguated ID Type / Status
Subject 18 Poems E468875 entity
Predicate hasPoem P21160 FINISHED
Object The force that drives the green 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: The force that drives the green | Statement: [18 Poems, hasPoem, The force that drives the green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The force that drives the green
Context triple: [18 Poems, hasPoem, The force that drives the green]
  • A. the Green chosen
    The Green is a mystical, interconnected realm embodying all plant life on Earth, serving as the source of power and consciousness for plant-based entities like Swamp Thing in DC Comics.
  • B. Green Force
    Green Force is the popular nickname of Persebaya Surabaya, one of Indonesia’s most prominent and passionately supported football clubs.
  • C. Green for All
    Green for All is a U.S.-based nonprofit organization that advocates for an inclusive green economy by promoting clean energy, green jobs, and environmental justice in underserved communities.
  • D. Seeing Green
    Seeing Green is an influential environmental book by British activist Jonathan Porritt that helped shape modern green politics and sustainability debates.
  • E. Seeing Green
    "Seeing Green" is a chapter in Peter Thiel’s startup and business strategy book "Zero to One," focusing on how to build successful companies in the clean technology sector and why many green-tech ventures have failed.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eeb81bf08190b0352137eb4a5763 completed April 20, 2026, 9:15 a.m.
Created at: April 10, 2026, 12:06 p.m.