Triple

T21516058
Position Surface form Disambiguated ID Type / Status
Subject Toots in Memphis E530844 entity
Predicate hasTrack P3284 FINISHED
Object Hard to Handle 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: Hard to Handle | Statement: [Toots in Memphis, hasTrack, Hard to Handle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hard to Handle
Context triple: [Toots in Memphis, hasTrack, Hard to Handle]
  • A. Hard to Handle chosen
    "Hard to Handle" is a popular rock song best known from The Black Crowes' 1990 cover of Otis Redding's original soul track, which became one of their signature hits.
  • B. Too Tough
    Too Tough is a track featured on the hip-hop album "Undercover."
  • C. The Difficult Kind
    "The Difficult Kind" is a blues-inflected rock ballad by Sheryl Crow, known for its emotionally charged lyrics and powerful vocal performance.
  • D. Too Hot to Handle
    Too Hot to Handle is the alternate title of the 1991 romantic comedy film "The Marrying Man," starring Alec Baldwin and Kim Basinger.
  • E. Hard to Hold
    Hard to Hold is a 1984 romantic musical film starring Rick Springfield as a rock star whose turbulent love life complicates his rising career.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee81416f288190a62f62ddd6895b24 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 6:25 p.m.