Triple

T18996046
Position Surface form Disambiguated ID Type / Status
Subject Sticky Fingaz E464815 entity
Predicate notableWork P4 FINISHED
Object In Too Deep NE NERFINISHED

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: In Too Deep | Statement: [Sticky Fingaz, notableWork, In Too Deep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: In Too Deep
Context triple: [Sticky Fingaz, notableWork, In Too Deep]
  • A. In Too Deep chosen
    In Too Deep is a 1999 crime thriller film about an undercover cop infiltrating a powerful drug syndicate, in which Michael Beach plays a supporting role.
  • B. In Too Deep
    "In Too Deep" is a track by Eminem from his 2020 album *Music to Be Murdered By*, blending introspective lyrics with his signature rapid-fire delivery.
  • C. Deeper and Deeper
    "Deeper and Deeper" is a dance-pop and house-influenced song by Madonna, released as a single from her 1992 album Erotica.
  • D. Dig Deep
    "Dig Deep" is a song included on the album "Bombshell."
  • E. Dig a Little Deeper
    "Dig a Little Deeper" is an upbeat gospel-inspired musical number performed by Mama Odie in Disney's animated film The Princess and the Frog, encouraging characters to look within themselves to find what they truly need.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6819f8c81908bbf0448baf7e34b completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.