Triple

T5513436
Position Surface form Disambiguated ID Type / Status
Subject Clotho E144621 entity
Predicate category P87 FINISHED
Object Fates E156160 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: Fates | Statement: [Clotho, category, Fates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fates
Context triple: [Clotho, category, Fates]
  • A. Fates chosen
    The Fates are the three ancient Greek goddesses who control the destiny and lifespan of every mortal and god.
  • B. Fate to Fatal
    "Fate to Fatal" is an EP by American alternative rock band The Breeders, showcasing their lo-fi indie sound in a short collection of tracks released in the late 2000s.
  • C. The Fourmost
    The Fourmost were a 1960s Liverpool beat group associated with the Merseybeat scene, known for their close ties to The Beatles and hits like "A Little Loving."
  • D. I Felsinei
    I Felsinei is a traditional nickname for Bologna FC 1909, referencing the club’s historic roots in the city of Bologna.
  • E. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f599d0881909ce86fcc45d4d920 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027d192808190b1e80a6f3be44870 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:33 p.m.