Triple

T15950981
Position Surface form Disambiguated ID Type / Status
Subject Core Contents Media E386816 entity
Predicate managedAct P25513 FINISHED
Object The SeeYa E1186765 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: The SeeYa | Statement: [Core Contents Media, managedAct, The SeeYa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The SeeYa
Context triple: [Core Contents Media, managedAct, The SeeYa]
  • A. SeeYa chosen
    SeeYa was a South Korean female vocal group known for their emotional ballads and strong vocal performances in the mid-2000s K-pop scene.
  • B. Semai
    Semai is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
  • C. Nine Muses
    The Nine Muses are the goddesses of inspiration in Greek mythology, each presiding over a different art or science such as epic poetry, history, music, and dance.
  • 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. Malasiqui
    Malasiqui is a landlocked, agriculture-based municipality located in the province of Pangasinan in the Philippines.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d59f5081909f6a81d578c4e2e8 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3c1b49c819087e5a088d41963ec completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:53 a.m.