Triple

T16159493
Position Surface form Disambiguated ID Type / Status
Subject Triangle Publications E392138 entity
Predicate published P80 FINISHED
Object Seventeen E447055 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: Seventeen | Statement: [Triangle Publications, published, Seventeen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seventeen
Context triple: [Triangle Publications, published, Seventeen]
  • A. Seventeen
    Seventeen is a popular South Korean boy group known for their synchronized performances, self-produced music, and large multi-unit lineup.
  • B. Seventeen chosen
    Seventeen is a long-running American teen magazine focused on fashion, beauty, relationships, and lifestyle for teenage girls.
  • C. Twice
    Twice is a South Korean girl group formed by JYP Entertainment, known for their catchy pop songs and significant influence on the global K-pop scene.
  • D. Loona
    Loona is a celebrated Punjabi epic verse play by Shiv Kumar Batalvi that reimagines the traditional legend of Puran Bhagat from the perspective of the vilified stepmother, Loona.
  • E. Selena Gomez & the Scene
    Selena Gomez & the Scene was an American pop band fronted by singer and actress Selena Gomez, known for its catchy teen-pop and dance-pop hits in the late 2000s and early 2010s.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5de3c481908eb5cdf194a47ff7 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b05a588190a44d1c922195a87b completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.