Triple

T10151346
Position Surface form Disambiguated ID Type / Status
Subject Daniel Huntington E232647 entity
Predicate studiedUnder P7251 FINISHED
Object Henry Inman E471508 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: Henry Inman | Statement: [Daniel Huntington, studiedUnder, Henry Inman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Inman
Context triple: [Daniel Huntington, studiedUnder, Henry Inman]
  • A. Henry Inman chosen
    Henry Inman was a prominent 19th-century American painter known for his portraits, genre scenes, and role in shaping early national art.
  • B. 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.
  • C. Frank Currier
    Frank Currier was an American character actor and director of the silent film era, known for his numerous supporting roles in early Hollywood productions.
  • D. W. S. Van Dyke
    W. S. Van Dyke was an American film director of Hollywood’s classic era, best known for his efficient, fast-paced filmmaking on hits like The Thin Man series and San Francisco.
  • E. Elliott Fitch Shepard
    Elliott Fitch Shepard was a 19th-century American lawyer, banker, newspaper owner, and prominent figure in New York society.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec0584a48190b65daa8370555c27 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e640d1e0819094d30556ccb958b0 completed April 5, 2026, 10:46 p.m.
Created at: March 30, 2026, 9:08 p.m.