Triple

T2323452
Position Surface form Disambiguated ID Type / Status
Subject Teatro E48232 entity
Predicate hasTrack P3284 FINISHED
Object Annie E76744 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: Annie | Statement: [Teatro, hasTrack, Annie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annie
Context triple: [Teatro, hasTrack, Annie]
  • A. Annie chosen
    Annie is a popular Broadway musical, later adapted into a film, about an optimistic orphan girl in 1930s New York.
  • B. Annie
    Annie is the given name of Annie Lee Cooper, a prominent civil rights activist known for her role in the 1965 Selma to Montgomery marches.
  • C. Hattie
    Hattie is a feminine given name most famously borne by Hattie McDaniel, the first African American to win an Academy Award.
  • D. Annie Douglass
    Annie Douglass was a daughter of abolitionist Anna Murray Douglass and famed orator Frederick Douglass, born into a prominent African American family deeply involved in the fight against slavery and for civil rights.
  • E. Chiquitita
    "Chiquitita" is a popular 1979 pop ballad by Swedish group ABBA, known for its uplifting melody and comforting lyrics about offering support in times of sadness.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc6488de481909f018700fa1f9fc7 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae896b357c8190a6cdf99d5292037e completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:49 p.m.