Triple

T9083934
Position Surface form Disambiguated ID Type / Status
Subject Keith Crouch E217701 entity
Predicate notableWork P4 FINISHED
Object Love Is on the Way E587592 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: Love Is on the Way | Statement: [Keith Crouch, notableWork, Love Is on the Way]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Is on the Way
Context triple: [Keith Crouch, notableWork, Love Is on the Way]
  • A. Love Is on the Way chosen
    "Love Is on the Way" is a romantic pop ballad best known for being featured on Céline Dion’s album "Let's Talk About Love."
  • B. One’s on the Way
    "One’s on the Way" is a country song, popularized by Loretta Lynn, that humorously portrays the hectic life of a housewife and mother in a small Midwestern town.
  • C. Love Is On
    "Love Is On" is a marketing slogan used by Revlon to promote its beauty and cosmetics products with a focus on passion, romance, and emotional connection.
  • D. Livin’ on Love
    "Livin’ on Love" is a popular country song by American singer-songwriter Alan Jackson that celebrates enduring love over material wealth.
  • E. Here’s Love
    "Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc960b45fc8190adf4bdc41b103e86 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe38f0048190a9fb15e73d9bcd50 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:13 p.m.