Triple

T8023328
Position Surface form Disambiguated ID Type / Status
Subject Takeoff E186790 entity
Predicate recordLabel P1500 FINISHED
Object 300 Entertainment E457427 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: 300 Entertainment | Statement: [Takeoff, recordLabel, 300 Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 300 Entertainment
Context triple: [Takeoff, recordLabel, 300 Entertainment]
  • A. 300 Entertainment chosen
    300 Entertainment is an American independent record label and entertainment company known for signing prominent hip-hop and rap artists.
  • B. 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.
  • C. Fo' Reel Entertainment
    Fo' Reel Entertainment is a record label best known for its work with rapper Nelly and its role in early-2000s hip hop and R&B releases.
  • D. Alloy Entertainment
    Alloy Entertainment is a television and film production company best known for developing popular young adult franchises such as The Vampire Diaries.
  • E. 3 Arts Entertainment
    3 Arts Entertainment is an American talent management and production company known for producing numerous popular television series and films.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3e8fb6788190a16413051ec26988 completed March 31, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccecc7c7f08190981e00342325a6da completed April 1, 2026, 10 a.m.
Created at: March 30, 2026, 5:21 p.m.