Triple

T10542864
Position Surface form Disambiguated ID Type / Status
Subject Shaffer Smith E248739 entity
Predicate notableWork P4 FINISHED
Object So Sick E208298 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: So Sick | Statement: [Shaffer Smith, notableWork, So Sick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: So Sick
Context triple: [Shaffer Smith, notableWork, So Sick]
  • A. So Sick chosen
    "So Sick" is a popular R&B song by Ne-Yo, known for its melancholic theme of heartbreak and its success as one of his breakthrough hits.
  • B. Love Sick
    "Love Sick" is a song by Bob Dylan, best known as the haunting, blues-infused opening track of his 1997 album *Time Out of Mind*.
  • C. Love Sick
    Love Sick is a studio album by American rapper and singer Don Toliver that blends melodic trap, R&B, and atmospheric production.
  • D. Sick of Me
    "Sick of Me" is a song by the American rock band Shinedown from their album "Shenanigans."
  • E. Sick of It
    Sick of It is a British comedy-drama television series starring Karl Pilkington as both a disillusioned cab driver and the voice of his inner self.
  • 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.