Triple

T17166159
Position Surface form Disambiguated ID Type / Status
Subject Aftertaste E416613 entity
Predicate follows P134 FINISHED
Object Betty unclear NED1 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: Betty | Statement: [Aftertaste, follows, Betty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betty
Context triple: [Aftertaste, follows, Betty]
  • A. Betty
    Betty is a feminine given name, often a diminutive of Elizabeth, that has been widely used in English-speaking countries.
  • B. Betty
    "Betty" is the Allied reporting name for the Mitsubishi G4M, a Japanese World War II twin-engine land-based bomber known for its long range and vulnerability due to lack of armor and self-sealing fuel tanks.
  • C. Betty
    Betty is the troubled, passionate young woman at the center of the French cult film "Betty Blue," whose intense love affair and psychological unraveling drive the story.
  • D. Betty
    Betty is the given name of Betty Wold Johnson, an American philanthropist and arts patron associated with the Johnson & Johnson family.
  • E. Betty
    Betty is a thoughtful, science-loving purple octopus character from the British preschool animated series "Hey Duggee."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f915622c8190a6dff0baf0288a62 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483b827081909619ea691c4c0e1e completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.