Triple

T9924796
Position Surface form Disambiguated ID Type / Status
Subject SAMO E187893 entity
Predicate hasTagline P7688 FINISHED
Object SAMO© E187893 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: SAMO© | Statement: [SAMO, hasTagline, SAMO©]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAMO©
Context triple: [SAMO, hasTagline, SAMO©]
  • A. SAMO chosen
    SAMO was the graffiti tag and artistic persona used by Jean-Michel Basquiat in late-1970s New York City, known for its cryptic, poetic street art.
  • B. SAM
    SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
  • C. SAM
    SAM is the three-letter international code used to represent the Samoa national rugby league team in official competitions and records.
  • D. SAM
    SAM is the official FIFA trigramme used to represent the Samoa national under-20 football team in international competitions and records.
  • E. SAM
    SAM is the commonly used abbreviation for the South Australian Museum, a major natural history and cultural institution located in Adelaide, Australia.
  • 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb598651081908286763ff56ba57c completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e143660819097a9fa96365bc25a completed April 5, 2026, 7:24 a.m.
Created at: March 30, 2026, 8:43 p.m.