Triple

T3139084
Position Surface form Disambiguated ID Type / Status
Subject Wu-Tang Forever E65598 entity
Predicate groupMembersFeatured P22585 FINISHED
Object Masta Killa E65378 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: Masta Killa | Statement: [Wu-Tang Forever, groupMembersFeatured, Masta Killa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masta Killa
Context triple: [Wu-Tang Forever, groupMembersFeatured, Masta Killa]
  • A. Masta Killa chosen
    Masta Killa is an American rapper best known as a member of the influential hip hop group Wu-Tang Clan.
  • B. Mama Killa
    Mama Killa is the Incan moon goddess, revered as a protector of women and regulator of time through the lunar calendar.
  • C. Scarface
    Scarface is the notorious nickname of American gangster Al Capone, one of the most infamous crime bosses of the Prohibition era.
  • D. Scarface
    Scarface is a 1983 crime drama film chronicling the violent rise and fall of Cuban immigrant drug lord Tony Montana in Miami’s cocaine underworld.
  • E. Scarface
    Scarface is a pioneering American rapper and member of the influential Houston group Geto Boys, known for his vivid storytelling and impact on Southern hip-hop.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada575bbac81909b1b95126f488809 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e81ab30481909d73aed49d4192a3 completed March 12, 2026, 4:21 p.m.
Created at: March 8, 2026, 3:05 p.m.