Triple

T11402425
Position Surface form Disambiguated ID Type / Status
Subject George Sigerson E270146 entity
Predicate name P16 FINISHED
Object George Sigerson E270146 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: George Sigerson | Statement: [George Sigerson, name, George Sigerson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Sigerson
Context triple: [George Sigerson, name, George Sigerson]
  • A. George Sigerson chosen
    George Sigerson was an Irish physician, scientist, translator, and leading figure of the Irish literary revival in the late 19th and early 20th centuries.
  • B. William Sigerson
    William Sigerson was an Irish poet and translator associated with the late 19th-century Irish literary and cultural revival.
  • C. George Scudder
    George Scudder is an individual notable enough to be recognized as a bearer of the surname Scudder, though specific widely known public details about him are limited.
  • D. Edward Linn
    Edward Linn was an American writer and journalist best known for co-authoring notable memoirs, including the bank-robbery autobiography "Where the Money Was."
  • E. George Dillon
    George Dillon is a character from the 1987 science fiction action film "Predator," portrayed as a former comrade of Dutch who becomes a CIA operative involved in the ill-fated mission in the Central American jungle.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80148e2048190a716b515d78efdd1 completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ee864bf89081909fa336393e59f073 completed April 26, 2026, 9:40 p.m.
Created at: April 8, 2026, 9:34 p.m.