Triple

T21435451
Position Surface form Disambiguated ID Type / Status
Subject Red Leaves E528794 entity
Predicate hasTitle P38 FINISHED
Object Red Leaves NE NERFINISHED

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: Red Leaves | Statement: [Red Leaves, hasTitle, Red Leaves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Leaves
Context triple: [Red Leaves, hasTitle, Red Leaves]
  • A. Red Leaves chosen
    "Red Leaves" is a short story by William Faulkner that explores themes of death, slavery, and cultural conflict in the American South.
  • B. Falling Leaves
    "Falling Leaves" is a 1966 Georgian short film by director Otar Iosseliani, noted for its poetic, minimalist style and subtle social commentary.
  • C. Falling Leaves
    Falling Leaves is a 1912 silent short film directed by pioneering filmmaker Alice Guy-Blaché, known for its early use of narrative cinema and emotional storytelling.
  • D. Faded Leaves
    Faded Leaves is a literary work by American writer and wit Thomas Gold Appleton, reflecting his characteristic blend of cultured observation and gentle humor.
  • E. Race of the Falling Leaves
    Race of the Falling Leaves is the poetic nickname for the Giro di Lombardia, a prestigious autumn one-day professional cycling classic held in the Lombardy region of Italy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b536274c8190809bd3cdf4ef899e completed April 22, 2026, 11:47 a.m.
Created at: April 16, 2026, 6:02 p.m.