Triple

T17146664
Position Surface form Disambiguated ID Type / Status
Subject Goldenvoice E416106 entity
Predicate parentOrganization P254 FINISHED
Object AEG Presents E89003 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: AEG Presents | Statement: [Goldenvoice, parentOrganization, AEG Presents]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AEG Presents
Context triple: [Goldenvoice, parentOrganization, AEG Presents]
  • A. AEG Live chosen
    AEG Live is a major global live entertainment company that promotes concerts and manages venues and tours for top artists.
  • B. O2 Academy
    O2 Academy is a prominent chain of live music and entertainment venues across the UK, known for hosting major concerts and club nights.
  • C. Goldenvoice
    Goldenvoice is a prominent American concert and festival promotion company best known for organizing major music events such as the Coachella Valley Music and Arts Festival.
  • D. Live Nation Productions
    Live Nation Productions is the film and television production arm of Live Nation Entertainment, focusing on music-driven and artist-centered projects.
  • E. ATG Entertainment
    ATG Entertainment is a major international theatre company that owns and operates numerous prominent venues and produces live stage productions in the UK and abroad.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2db20d48190b5d69ccf89f3bc42 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014158ed8c8190adb3c03c8a114a59 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.