Triple

T15492280
Position Surface form Disambiguated ID Type / Status
Subject Frank Currier E378718 entity
Predicate name P16 FINISHED
Object Frank Currier E378718 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: Frank Currier | Statement: [Frank Currier, name, Frank Currier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Currier
Context triple: [Frank Currier, name, Frank Currier]
  • A. Frank Currier chosen
    Frank Currier was an American character actor and director of the silent film era, known for his numerous supporting roles in early Hollywood productions.
  • B. Henry Inman
    Henry Inman was a prominent 19th-century American painter known for his portraits, genre scenes, and role in shaping early national art.
  • C. William Sidney Mount
    William Sidney Mount was a 19th-century American painter best known for his genre scenes depicting everyday rural life and social themes.
  • D. Moody Currier
    Moody Currier was a 19th-century American lawyer, banker, politician, and philanthropist from New Hampshire who served as governor and became a notable benefactor of the arts.
  • E. Maynard Dixon
    Maynard Dixon was an American artist best known for his modernist, atmospheric paintings of the American West and its landscapes, Native peoples, and working-class life.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3660fc6c81908caf1729260a8338 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:49 a.m.