Triple

T19553615
Position Surface form Disambiguated ID Type / Status
Subject Urban Legend E489252 entity
Predicate hasPart P35 FINISHED
Object Spending Time E140507 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: Spending Time | Statement: [Urban Legend, hasPart, Spending Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spending Time
Context triple: [Urban Legend, hasPart, Spending Time]
  • A. Spending Time chosen
    "Spending Time" is a track featured on the album *King of Stage* by American R&B singer Bobby Brown.
  • B. Spend Some Time
    "Spend Some Time" is a soulful acid jazz track by The Brand New Heavies, showcasing their signature blend of funk-driven grooves and smooth vocals.
  • C. Spend My Time
    "Spend My Time" is a country music album by American singer-songwriter Clint Black, marking his return to recording after a several-year hiatus.
  • D. Spending All My Time
    "Spending All My Time" is a synth-pop single by Japanese girl group Perfume, known for its minimalist electronic sound and futuristic aesthetic.
  • E. From Time to Time
    From Time to Time is a 2009 British fantasy drama film written and directed by Julian Fellowes, blending a World War II–era family mystery with time-travel elements in an English country house.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d3254548190828a5f7e9a851ef8 completed April 20, 2026, 2:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07577c5adc8190999227c0230dd693 completed May 15, 2026, 5:27 p.m.
Created at: April 10, 2026, 1:41 p.m.