Triple

T1310283
Position Surface form Disambiguated ID Type / Status
Subject Cecil H. Green E27973 entity
Predicate familyName P18 FINISHED
Object Green E141909 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 | Statement: [Cecil H. Green, familyName, Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green
Context triple: [Cecil H. Green, familyName, Green]
  • A. Green chosen
    Green is a common English surname of Anglo-Saxon origin, typically derived from a descriptive nickname related to the color green or someone who lived near a village green.
  • B. Groen
    Groen is a Flemish green political party in Belgium known for its progressive stance on environmental and social issues.
  • C. Green, Green
    "Green, Green" is a 1963 folk song by The New Christy Minstrels that became one of their best-known hits and a staple of the American folk revival era.
  • D. 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.
  • E. Eco
    Eco is the proposed common currency intended to be adopted by member states of the Economic Community of West African States (ECOWAS) to facilitate regional economic integration.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c15490a88190872c3d2698a8f9c9 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb30b45708190aaf8c977fef2500c completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:51 p.m.