Triple

T14592807
Position Surface form Disambiguated ID Type / Status
Subject Victoria Medal E342485 entity
Predicate hasNotableRecipient P108 FINISHED
Object David Harvey E742209 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: David Harvey | Statement: [Victoria Medal, hasNotableRecipient, David Harvey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Harvey
Context triple: [Victoria Medal, hasNotableRecipient, David Harvey]
  • A. David Harvey chosen
    David Harvey is a prominent Marxist geographer and social theorist known for his influential critiques of capitalism and urbanization.
  • B. Geoffrey Scoones
    Geoffrey Scoones was a British Indian Army lieutenant general who played a key leadership role in the Burma Campaign of World War II.
  • C. Eric Wolf
    Eric Wolf was an influential anthropologist known for integrating Marxist perspectives into the study of peasant societies, power, and global historical processes.
  • D. Geoffry Scoones
    Geoffry Scoones was a British Indian Army general best known for his senior command roles in the Burma Campaign during the Second World War.
  • E. David Soward
    David Soward is an entrepreneur best known as a co-founder of the cosmetics brand Urban Decay, which helped popularize edgy, alternative makeup in the 1990s.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43480d8819084a707e56da2c237 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda918542c819099646943be59dd04 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:24 a.m.