Triple

T4421446
Position Surface form Disambiguated ID Type / Status
Subject BET Networks E95104 entity
Predicate hasBrand P1500 FINISHED
Object BET+ E92376 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: BET+ | Statement: [BET Networks, hasBrand, BET+]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BET+
Context triple: [BET Networks, hasBrand, BET+]
  • A. BET chosen
    BET (Black Entertainment Television) is an American cable television network that primarily targets African American audiences with a mix of music, entertainment, news, and original programming.
  • B. I Bet
    "I Bet" is an R&B song by American singer Ciara, released in 2015 and known for its emotionally charged lyrics about heartbreak and empowerment.
  • C. BEY
    BEY is the IATA airport code for Beirut–Rafic Hariri International Airport, the main international gateway to Lebanon’s capital city.
  • D. BES
    BES is the international vehicle registration code used for the Caribbean Netherlands islands of Bonaire, Sint Eustatius, and Saba.
  • E. Beastie
    Beastie is the iconic cartoon daemon mascot associated with the FreeBSD operating system and the broader BSD Unix community.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35521e020819099e72b9e2ccbd36d completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f62715748190abceb14396ad637d completed March 14, 2026, 11:58 p.m.
Created at: March 12, 2026, 11:30 p.m.