Triple

T5920346
Position Surface form Disambiguated ID Type / Status
Subject American Beauty E131683 entity
Predicate hasTrack P3284 FINISHED
Object Ripple E131694 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: Ripple | Statement: [American Beauty, hasTrack, Ripple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ripple
Context triple: [American Beauty, hasTrack, Ripple]
  • A. Ripple chosen
    "Ripple" is a beloved folk-influenced ballad by the Grateful Dead, known for its gentle melody, spiritual lyrics, and enduring sing-along chorus.
  • B. Ripple
    Ripple is a small village in the Dover District of Kent, England, known for its rural character and historic parish church.
  • C. Libra
    Libra is an astrological sign of the zodiac symbolized by the Scales and traditionally associated with balance, harmony, and relationships.
  • D. Libra
    Libra is a novel by Don DeLillo that offers a fictionalized exploration of the events and conspiracies surrounding the assassination of U.S. President John F. Kennedy.
  • E. Teku
    Teku is an open-source Ethereum consensus client written in Java, designed to run Ethereum proof-of-stake validators in a secure and enterprise-friendly way.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038019ea081908e652d74ff23f076 completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c03a95688190bfd51d7ada1e538f completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.