Triple

T17000089
Position Surface form Disambiguated ID Type / Status
Subject Heinrich I of Germany E412418 entity
Predicate hasMottoOrEpithet P111085 FINISHED
Object the Fowler E343765 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: the Fowler | Statement: [Heinrich I of Germany, hasMottoOrEpithet, the Fowler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Fowler
Context triple: [Heinrich I of Germany, hasMottoOrEpithet, the Fowler]
  • A. Fowler chosen
    Fowler is a surname of English origin borne by numerous notable individuals across fields such as engineering, politics, sports, and the arts.
  • B. Fowles
    Fowles is the surname of Sylvia Fowles, an American professional basketball player renowned as one of the most dominant centers in WNBA history.
  • C. Fawler
    Fawler is a small rural village in the West Oxfordshire district of Oxfordshire, England.
  • D. Flecker
    Flecker is the surname of James Elroy Flecker, an early 20th-century British poet and playwright known for his symbolist and exotic verse.
  • E. Falkner
    Falkner is a lesser-known 1837 novel by Mary Shelley that explores themes of guilt, redemption, and complex family relationships.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37d9f9081909aef52426d88940d completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc1ac518819093fac61b5598d730 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.