Triple

T12671878
Position Surface form Disambiguated ID Type / Status
Subject Arm in Arm E302703 entity
Predicate hasTrack P3284 FINISHED
Object Afterglow E815237 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: Afterglow | Statement: [Arm in Arm, hasTrack, Afterglow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afterglow
Context triple: [Arm in Arm, hasTrack, Afterglow]
  • A. Afterglow
    Afterglow is a 2003 studio album by Canadian singer-songwriter Sarah McLachlan, known for its lush, atmospheric pop sound and introspective lyrics.
  • B. Afterglow
    Afterglow is a 1997 romantic dramedy film directed by Alan Rudolph, known for Julie Christie's acclaimed performance as a woman confronting the emotional fallout of a long marriage.
  • C. Afterglow chosen
    Afterglow is a music album titled "Afterglow" associated with the artist or band Fallen.
  • D. The Glow
    The Glow is a track by American producer and DJ RJD2, known for its richly layered, sample-based instrumental hip-hop sound.
  • E. After the Dark
    After the Dark is a 2013 philosophical science-fiction thriller film that explores moral dilemmas through a series of apocalyptic thought experiments conducted by a high school philosophy class.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ae493481908f82e0d05dce20bd completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6689019988190ae3a3a52be45c83a completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:20 p.m.