Triple

T10465696
Position Surface form Disambiguated ID Type / Status
Subject In Your Own Time E246787 entity
Predicate hasPart P35 FINISHED
Object Good for Me E787105 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: Good for Me | Statement: [In Your Own Time, hasPart, Good for Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good for Me
Context triple: [In Your Own Time, hasPart, Good for Me]
  • A. Good for Me chosen
    "Good for Me" is a 1991 pop and contemporary Christian crossover hit by Amy Grant, known for its upbeat sound and mainstream chart success.
  • B. Good To Me
    "Good To Me" is an R&B song by American singer LeToya Luckett, known for showcasing her smooth vocals and emotive, relationship-focused lyrics.
  • C. Good to Be Me
    "Good to Be Me" is a feel-good country-rock song by Uncle Kracker that celebrates self-acceptance and laid-back living.
  • D. Feels Good to Me
    Feels Good to Me is the 1978 debut solo album by drummer Bill Bruford, blending jazz fusion and progressive rock with an all-star lineup of musicians.
  • E. Be Good to Yourself
    "Be Good to Yourself" is a 1986 rock single by American band Journey, known for its uplifting lyrics and anthemic arena-rock sound.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092d6d408190b6bda4d7ced4601e completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fe6129881908c658ff977e68135 completed April 10, 2026, 6:59 a.m.
Created at: April 6, 2026, 12:19 p.m.