Triple

T10715741
Position Surface form Disambiguated ID Type / Status
Subject Steve Kipner E252661 entity
Predicate workedWith P398 FINISHED
Object 98 Degrees E146362 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: 98 Degrees | Statement: [Steve Kipner, workedWith, 98 Degrees]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 98 Degrees
Context triple: [Steve Kipner, workedWith, 98 Degrees]
  • A. 98 Degrees chosen
    98 Degrees is an American pop and R&B boy band that rose to fame in the late 1990s with harmonized ballads and chart-topping hits.
  • B. Backstreet Boys
    Backstreet Boys are an American vocal harmony boy band that rose to global fame in the late 1990s with pop hits like "I Want It That Way" and "Everybody (Backstreet's Back)."
  • C. All-4-One
    All-4-One is an American R&B and pop vocal group best known for their mid-1990s hit ballads like "I Swear."
  • D. New Direction
    "New Direction" is an album by the British band Freak Power that blends acid jazz, funk, and soul influences.
  • E. NSYNC
    NSYNC is an American boy band that rose to fame in the late 1990s and early 2000s with pop hits and elaborate performances, becoming one of the era’s most popular musical acts.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff3320448190899c56b02a7f5ffa completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9991f650881908d8db6e44b2c4543 completed April 11, 2026, 12:43 a.m.
Created at: April 8, 2026, 9:13 p.m.