Triple

T8305080
Position Surface form Disambiguated ID Type / Status
Subject Alice Krige E194443 entity
Predicate role P268 FINISHED
Object Eir E372408 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: Eir | Statement: [Alice Krige, role, Eir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eir
Context triple: [Alice Krige, role, Eir]
  • A. Eir chosen
    Eir is a Norse goddess associated with the Aesir, renowned as a divine healer and patron of medicine.
  • B. An tIúr
    An tIúr is the Irish name for Newry, a city in Northern Ireland near the border with the Republic of Ireland.
  • C. Ire
    Ire is a river or stream that serves as one of the natural watercourses feeding into Lake Annecy in southeastern France.
  • D. Eirisgeigh
    Eirisgeigh is the Scottish Gaelic name for Eriskay, a small island in the Outer Hebrides of Scotland known for its rugged landscape and traditional Gaelic culture.
  • E. Railsea
    Railsea is a 2012 young adult science fiction novel by China Miéville that reimagines Moby-Dick in a post-apocalyptic world of endless railroads and monstrous subterranean creatures.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e8db3a8819083772db5c7a2454b completed March 31, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9545ffc48190869906b02692b873 completed April 1, 2026, 9:59 p.m.
Created at: March 30, 2026, 5:54 p.m.