Triple

T14409553
Position Surface form Disambiguated ID Type / Status
Subject Double or Nothing E357287 entity
Predicate hasPart P35 FINISHED
Object So Good E792925 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 Good | Statement: [Double or Nothing, hasPart, So Good]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: So Good
Context triple: [Double or Nothing, hasPart, So Good]
  • A. So Good
    "So Good" is a popular hip hop and pop-rap single by American rapper B.o.B, known for its catchy melody and romantic, feel-good lyrics.
  • B. So Good
    "So Good" is the 2017 debut international studio album by Swedish pop singer Zara Larsson, featuring hit singles like "Lush Life" and "Ain't My Fault."
  • C. So Good chosen
    "So Good" is a 2005 pop single by British singer Rachel Stevens, known for its sleek production and dance-pop sound.
  • D. Something Good
    "Something Good" is a song by composer Richard Rodgers, best known as one of the romantic ballads from the film adaptation of the musical *The Sound of Music*.
  • E. Be Good
    "Be Good" is a critically acclaimed jazz and soul album by American singer-songwriter Gregory Porter, noted for its warm vocals, sophisticated songwriting, and emotional depth.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90c9b3448190aec1608836a5e913 completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5524e26c81909424b5ba88b5f330 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.