Triple

T7445395
Position Surface form Disambiguated ID Type / Status
Subject Radio City Christmas Spectacular E171863 entity
Predicate producer P490 FINISHED
Object MSG Entertainment E664927 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: MSG Entertainment | Statement: [Radio City Christmas Spectacular, producer, MSG Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MSG Entertainment
Context triple: [Radio City Christmas Spectacular, producer, MSG Entertainment]
  • A. MSG Entertainment chosen
    MSG Entertainment is a live entertainment company best known for operating New York City’s Madison Square Garden and producing iconic shows such as the Radio City Christmas Spectacular.
  • B. MOR Entertainment
    MOR Entertainment is a Philippine digital radio and entertainment brand known for music, talk shows, and interactive content under ABS-CBN.
  • C. BH Entertainment
    BH Entertainment is a South Korean talent management and production company known for representing prominent film and television actors.
  • D. J&M Entertainment
    J&M Entertainment is a film production company best known for producing the 1993 drama "What's Eating Gilbert Grape."
  • E. LD Entertainment
    LD Entertainment is an American film production company known for producing independent and mid-budget feature films across a range of genres.
  • 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f37054388190a6cb4c0db2ca6014 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83451fcfc8190b32840c3c3448962 completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:14 p.m.