Triple

T10249101
Position Surface form Disambiguated ID Type / Status
Subject Floyd Dell E240294 entity
Predicate name P16 FINISHED
Object Floyd Dell E240294 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: Floyd Dell | Statement: [Floyd Dell, name, Floyd Dell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Floyd Dell
Context triple: [Floyd Dell, name, Floyd Dell]
  • A. Floyd Dell chosen
    Floyd Dell was an American writer, critic, and prominent figure in early 20th-century literary radicalism and bohemian culture.
  • B. Ward Bond
    Ward Bond was an American character actor best known for his prolific work in classic Hollywood films and the television series "Wagon Train."
  • C. John Howard Lawson
    John Howard Lawson was an American playwright, screenwriter, and prominent member of the Hollywood Ten who was blacklisted during the McCarthy era for his political beliefs.
  • D. Manly Wade Wellman
    Manly Wade Wellman was an American writer best known for his influential fantasy, horror, and science fiction stories, particularly his tales of Southern folklore and supernatural adventures.
  • E. John F. Reyburn
    John F. Reyburn was an American Republican politician who served as a U.S. Representative from Pennsylvania and later as mayor of Philadelphia in the early 20th century.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23c4cd88190b99e65a074b68d6b completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7b66c6881908b432fbdd5ecf11e completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:28 a.m.