Triple

T3972593
Position Surface form Disambiguated ID Type / Status
Subject Saliva E92366 entity
Predicate single P3283 FINISHED
Object Ladies and Gentlemen E405240 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: Ladies and Gentlemen | Statement: [Saliva, single, Ladies and Gentlemen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ladies and Gentlemen
Context triple: [Saliva, single, Ladies and Gentlemen]
  • A. Ladies and Gentlemen chosen
    "Ladies and Gentlemen" is a song by the American rock band Saliva, known for its hard rock sound and energetic style.
  • B. The Women and The Men
    The Women and The Men is a poetry collection by Nikki Giovanni that explores themes of Black identity, gender, love, and social justice during the Black Arts Movement era.
  • C. Sophisticated Ladies
    Sophisticated Ladies is a Broadway musical revue celebrating the music of Duke Ellington, known for its stylish staging and virtuosic tap performances.
  • D. A Man and a Woman
    "A Man and a Woman" is a romantic rock song by U2 from their 2004 album *How to Dismantle an Atomic Bomb*.
  • E. Two Ladies
    Two Ladies is the joint title given to the ancient Egyptian goddesses Wadjet and Nekhbet, who together served as protective patron deities of unified Egypt.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef996ff6c8190ba8cc490e4744b95 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c443e208190a8bf83ec642a142e completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:32 p.m.