Triple

T13792652
Position Surface form Disambiguated ID Type / Status
Subject Safe + Sound E331436 entity
Predicate hasPart P35 FINISHED
Object Sucka Free E324919 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: Sucka Free | Statement: [Safe + Sound, hasPart, Sucka Free]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sucka Free
Context triple: [Safe + Sound, hasPart, Sucka Free]
  • A. Sucka Free chosen
    Sucka Free is Nicki Minaj’s early breakthrough mixtape that helped establish her presence in the hip-hop scene before her mainstream debut.
  • B. Sucka for Love
    "Sucka for Love" is a hip-hop track featured on the album "Undisputed."
  • C. Suck
    Suck is the name of a river in Ireland, known as the River Suck, which is a major tributary of the River Shannon.
  • D. Sucker
    Sucker is a 2015 Australian comedy film about a teenage conman who becomes entangled with a charismatic swindler and his enigmatic daughter.
  • E. Sucker
    "Sucker" is a 2019 upbeat pop single by the Jonas Brothers that marked their high-profile comeback and became a chart-topping hit.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0258a1408190a837d17c6d6a2bd4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0817bd88190a46e539f2ff24d83 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:11 p.m.