Triple

T10542827
Position Surface form Disambiguated ID Type / Status
Subject George Washington Benson E248738 entity
Predicate notableWork P4 FINISHED
Object Turn Your Love Around E240576 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: Turn Your Love Around | Statement: [George Washington Benson, notableWork, Turn Your Love Around]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turn Your Love Around
Context triple: [George Washington Benson, notableWork, Turn Your Love Around]
  • A. Turn Your Love Around chosen
    "Turn Your Love Around" is a 1981 Grammy-winning R&B/pop single by George Benson that became one of his signature crossover hits.
  • B. Turn on to Love
    Turn on to Love is a 1969 American romantic drama film best known as an early directorial effort by John G. Avildsen before his later mainstream successes.
  • C. Arms Around Your Love
    "Arms Around Your Love" is a rock song by Chris Cornell from his solo album "Carry On."
  • D. Love Will Turn You Around
    "Love Will Turn You Around" is a 1982 country-pop song by Kenny Rogers that also served as the theme for the film "Six Pack."
  • E. Turn Around
    "Turn Around" is a folk song, popularized in the 1950s and 1960s, that poignantly reflects on the swift passage of childhood into adulthood.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5190f46d08190a92b1191881ffb92 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9342e6cf48190b0ca53ff2a4e0214 completed April 10, 2026, 5:32 p.m.
Created at: April 6, 2026, 12:32 p.m.