Triple

T18435845
Position Surface form Disambiguated ID Type / Status
Subject Justified E450388 entity
Predicate includesTrack P3284 FINISHED
Object Señorita 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: Señorita | Statement: [Justified, includesTrack, Señorita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Señorita
Context triple: [Justified, includesTrack, Señorita]
  • A. Señorita chosen
    "Señorita" is a 2019 Latin-influenced pop duet by Camila Cabello and Shawn Mendes that became a global hit for its sultry melody and romantic theme.
  • B. Señora bonita
    "Señora bonita" is a well-known work by Mexican journalist and author María Antonieta Collins, recognized for its focus on women’s experiences and personal empowerment.
  • C. Senorita
    "Señorita" is a song featured on the album "No Way Out," known for its smooth blend of R&B and hip-hop influences.
  • D. Senorita
    "Señorita" is a dark, atmospheric hip-hop track by Vince Staples known for its menacing production and commentary on violence and survival.
  • E. Señorita 89
    Señorita 89 is a Mexican thriller drama television series that explores the dark underbelly of beauty pageants and power in Latin America.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c0cd30c8190b8417c264e60d3a5 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:28 a.m.