Triple

T9019804
Position Surface form Disambiguated ID Type / Status
Subject Lewis Black E215690 entity
Predicate father P120 FINISHED
Object Samuel Black E215690 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: Samuel Black | Statement: [Lewis Black, father, Samuel Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Black
Context triple: [Lewis Black, father, Samuel Black]
  • A. Samuel Black chosen
    Samuel Black is the father of American stand-up comedian and social critic Lewis Black.
  • B. Samuel Spencer
    Samuel Spencer was an American railroad executive best known as the first president and a key organizer of the Southern Railway in the late 19th century.
  • C. Samuel Spencer
    Samuel Spencer was a prominent North Carolina jurist and Revolutionary-era political leader known for his influential Anti-Federalist stance during debates over the U.S. Constitution.
  • D. Samuel Lester
    Samuel Lester is the full given name of Les Snead, the American football executive best known as the general manager of the Los Angeles Rams.
  • E. Samuel Dale
    Samuel Dale was an American frontiersman, soldier, and politician known for his role in the Creek War and early Alabama history.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a421c2c8190abb12c826066fe75 completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbaf7be081908738ef9a9a17a77b completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:07 p.m.