Triple

T15840688
Position Surface form Disambiguated ID Type / Status
Subject Channel 9 E384092 entity
Predicate owner P347 FINISHED
Object Nine Entertainment Co. E281232 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: Nine Entertainment Co. | Statement: [Channel 9, owner, Nine Entertainment Co.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nine Entertainment Co.
Context triple: [Channel 9, owner, Nine Entertainment Co.]
  • A. Nine Entertainment Co. chosen
    Nine Entertainment Co. is a major Australian media conglomerate that owns television, digital, publishing, and radio assets, including the Nine Network.
  • B. Machine Entertainment Group
    Machine Entertainment Group is a Chicago-based independent record label and management company known for working with hip-hop artists such as G Herbo.
  • C. Amaze Entertainment
    Amaze Entertainment was a video game development studio known for producing licensed titles and handheld adaptations of popular franchises.
  • D. Everest Entertainment
    Everest Entertainment is a prominent Indian film production and distribution company best known for producing successful and acclaimed Marathi-language movies.
  • E. Centropolis Entertainment
    Centropolis Entertainment is a film production company co-founded by director Roland Emmerich, best known for producing large-scale science fiction and disaster movies.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e69360819091ea0556bd66d785 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13c931481908ed9fd10fddd867c completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:50 a.m.