Triple

T22016113
Position Surface form Disambiguated ID Type / Status
Subject David Glasser E543712 entity
Predicate notableWork P4 FINISHED
Object George & Tammy 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: George & Tammy | Statement: [David Glasser, notableWork, George & Tammy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George & Tammy
Context triple: [David Glasser, notableWork, George & Tammy]
  • A. George & Tammy chosen
    George & Tammy is a biographical drama miniseries that chronicles the tumultuous relationship and careers of country music legends George Jones and Tammy Wynette.
  • B. Donny & Marie
    Donny & Marie is a Las Vegas residency show featuring sibling entertainers Donny and Marie Osmond performing music, dance, and comedy.
  • C. Johnny and June
    Johnny and June is a stage play centered on the passionate, tumultuous relationship between country music legends Johnny Cash and June Carter Cash.
  • D. Sonny and Cher
    Sonny and Cher were a popular American pop duo of the 1960s and 1970s, known for their hit songs like "I Got You Babe" and their influential television variety show.
  • E. Captain & Tennille
    Captain & Tennille were a 1970s American pop duo best known for their hit songs "Love Will Keep Us Together" and "Do That to Me One More Time."
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a8a1388190b9e0c1795fe1183a completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:22 p.m.