Triple

T15965306
Position Surface form Disambiguated ID Type / Status
Subject Damian Hubbard E387172 entity
Predicate singsSongIn P11145 FINISHED
Object “Stop” E387181 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: “Stop” | Statement: [Damian Hubbard, singsSongIn, “Stop”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Stop”
Context triple: [Damian Hubbard, singsSongIn, “Stop”]
  • A. Stop!
    "Stop!" is a 1988 synth-pop song by the English duo Erasure, known for its upbeat melody and catchy chorus.
  • B. Stop Stop Stop
    "Stop Stop Stop" is a 1966 hit single by British pop/rock band The Hollies, known for its distinctive banjo-driven sound and storytelling lyrics.
  • C. Stop chosen
    "Stop" is a comedic musical number from the stage adaptation of Mean Girls in which characters are urged to pause and think before acting impulsively.
  • D. Stop
    "Stop" is a 1998 upbeat pop single by the Spice Girls, known for its Motown-inspired sound and catchy choreography.
  • E. Why Stop Now
    Why Stop Now is a 2012 American comedy-drama film about a gifted pianist whose attempt to get his mother into rehab spirals into a chaotic day involving drug dealers and family turmoil.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157258b3c8190a72c868bd055ed94 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe84f4888190b3fdb5f32763f78d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:54 a.m.