Triple

T3765519
Position Surface form Disambiguated ID Type / Status
Subject The Smeezingtons E82666 entity
Predicate member P10 FINISHED
Object Bruno Mars E65582 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: Bruno Mars | Statement: [The Smeezingtons, member, Bruno Mars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruno Mars
Context triple: [The Smeezingtons, member, Bruno Mars]
  • A. Bruno Mars chosen
    Bruno Mars is an American singer, songwriter, producer, and performer known for his versatile blend of pop, R&B, funk, and soul, as well as his dynamic stage presence and numerous chart-topping hits.
  • B. Robin Thicke
    Robin Thicke is an American singer, songwriter, and record producer best known for his R&B and pop hits, including the controversial chart-topping single "Blurred Lines."
  • C. Sean Kingston
    Sean Kingston is a Jamaican-American singer and songwriter best known for his 2007 hit single "Beautiful Girls" and his blend of reggae, pop, and R&B music.
  • D. B.o.B
    B.o.B is an American rapper, singer, songwriter, and record producer known for hits like "Nothin' on You," "Airplanes," and "Magic."
  • E. Mike Posner
    Mike Posner is an American singer, songwriter, and record producer known for pop and hip-hop-influenced hits like "Cooler than Me" and "I Took a Pill in Ibiza."
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfeb52081909c38103beb5dbdcd completed March 8, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5221ab08190a3599afbbd5dbc6e completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.