Triple

T10621913
Position Surface form Disambiguated ID Type / Status
Subject The Warm Up E250221 entity
Predicate hasTrack P3284 FINISHED
Object Lights Please E875613 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: Lights Please | Statement: [The Warm Up, hasTrack, Lights Please]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lights Please
Context triple: [The Warm Up, hasTrack, Lights Please]
  • A. Lights Please chosen
    "Lights Please" is a reflective hip-hop track by J. Cole that helped establish his storytelling reputation and later appeared on his debut studio album, Cole World: The Sideline Story.
  • B. Lights
    Lights is the debut studio album by English singer Ellie Goulding, blending electropop and indie pop and featuring the hit single "Starry Eyed."
  • C. Lights
    Lights is a 1983 rock song by the British band Journey, best known as a nostalgic ballad celebrating the city of San Francisco.
  • D. Lights
    Lights is a Canadian singer-songwriter and multi-instrumentalist known for her synth-pop sound and emotive, electronic-infused pop songs.
  • E. Dim All the Lights
    "Dim All the Lights" is a disco and soul-infused song by Donna Summer, notable for showcasing her powerful vocals and becoming one of her major hits of the late 1970s.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df7e5074819096668b53dcc9167a completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a356e548190ab7a4a2c7111ba89 completed April 10, 2026, 10:31 p.m.
Created at: April 8, 2026, 8:50 p.m.