Triple

T13816599
Position Surface form Disambiguated ID Type / Status
Subject Stacey Kent E332035 entity
Predicate notableWork P4 FINISHED
Object Tenderly E386986 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: Tenderly | Statement: [Stacey Kent, notableWork, Tenderly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tenderly
Context triple: [Stacey Kent, notableWork, Tenderly]
  • A. Tenderly chosen
    "Tenderly" is a popular jazz standard and romantic ballad that has been widely recorded by prominent jazz and pop artists.
  • B. Softly and Tenderly
    "Softly and Tenderly" is a classic Christian hymn, often sung as an invitation song, known for its gentle melody and themes of Jesus calling believers to come home.
  • C. A Little Tenderness
    "A Little Tenderness" is a song featured on Sheena Easton's 1981 pop album "You Could Have Been with Me."
  • D. Softly, Softly
    Softly, Softly is a British police procedural television series from the 1960s that followed regional crime squads and became well known for its realistic depiction of police work.
  • E. A Fine Romance
    A Fine Romance is a British television sitcom best known for starring Judi Dench alongside her real-life husband Michael Williams as a pair of shy, middle-aged singles navigating an awkward late-blooming romance.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02806e148190996f58934e66d7d8 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e1fbec8190bab64357f8c5438f completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.