Triple

T16938019
Position Surface form Disambiguated ID Type / Status
Subject Ella Henderson E410875 entity
Predicate associatedAct P37 FINISHED
Object Sigala E889730 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: Sigala | Statement: [Ella Henderson, associatedAct, Sigala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sigala
Context triple: [Ella Henderson, associatedAct, Sigala]
  • A. Sigala chosen
    Sigala is a British DJ and record producer known for his upbeat, chart-topping dance-pop tracks and frequent collaborations with prominent vocalists.
  • B. Ninzam
    Ninzam is a Plateau language of central Nigeria, spoken by a small ethnic community and known for its place within the Benue–Congo branch of the Niger-Congo language family.
  • C. Alsou
    Alsou is a Russian singer and actress who gained international recognition after representing Russia in the Eurovision Song Contest 2000 and later becoming a prominent pop artist in the Russian-speaking world.
  • D. Timaya
    Timaya is a Nigerian singer and songwriter known for his influential role in contemporary Afrobeat and dancehall music.
  • E. Ladipoe
    Ladipoe is a Nigerian rapper and songwriter known for his clever wordplay and contributions to the contemporary Afrobeats and hip-hop scene.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf2b88bc8190aeb7b07032478ae3 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfe5210c8190873be6ccf2369b34 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.