Triple

T15519528
Position Surface form Disambiguated ID Type / Status
Subject Tyndal E368922 entity
Predicate hasVariantSpelling P457 FINISHED
Object Tyndall E368922 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: Tyndall | Statement: [Tyndal, hasVariantSpelling, Tyndall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyndall
Context triple: [Tyndal, hasVariantSpelling, Tyndall]
  • A. Tyndal chosen
    Tyndal is an English surname historically associated with families of British origin.
  • B. Beardmore
    Beardmore is a small rural community in northern Ontario, Canada, known as a service and gateway point for outdoor recreation in the surrounding lakes and forests.
  • C. Eddington
    Eddington is a surname most famously associated with Arthur Stanley Eddington, the influential English astrophysicist who helped confirm Einstein’s theory of general relativity.
  • D. Eddington
    Eddington is a small town in Penobscot County, Maine, known for its rural character and proximity to the Bangor metropolitan area.
  • E. Barkla
    Barkla is a surname most notably associated with Charles Glover Barkla, the British physicist and Nobel laureate recognized for his work on X-ray spectroscopy.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e040343d9c8190a7d1f197c108bd9d completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d52cf1c8190b18bff0b925355a3 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:04 a.m.