Triple

T7419656
Position Surface form Disambiguated ID Type / Status
Subject Gossip Folks E171211 entity
Predicate recordLabel P1500 FINISHED
Object Elektra Records E129323 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: Elektra Records | Statement: [Gossip Folks, recordLabel, Elektra Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elektra Records
Context triple: [Gossip Folks, recordLabel, Elektra Records]
  • A. Elektra Records chosen
    Elektra Records is a prominent American record label known for signing influential rock, folk, and alternative artists since the mid-20th century.
  • B. Palladium Records
    Palladium Records is a record label known for releasing music by American rock singer-songwriter Bob Seger.
  • C. Casablanca Records
    Casablanca Records is an American record label best known for its success in the 1970s disco era, releasing influential albums by artists such as Donna Summer, Kiss, and Parliament.
  • D. Harvest Records
    Harvest Records is a British record label best known for releasing progressive rock and experimental music, particularly in the 1970s.
  • E. Peacock Records
    Peacock Records was an influential mid-20th-century American rhythm and blues and gospel record label based in Houston, Texas.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2ea61248190886e8e55b42ba5f1 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c966100ffc8190873c6246759b0aa0 completed March 29, 2026, 5:49 p.m.
Created at: March 27, 2026, 3:11 p.m.