Triple

T17087615
Position Surface form Disambiguated ID Type / Status
Subject Jill Latiano E414639 entity
Predicate appearedIn P795 FINISHED
Object Casual E1077259 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: Casual | Statement: [Jill Latiano, appearedIn, Casual]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casual
Context triple: [Jill Latiano, appearedIn, Casual]
  • A. Casual chosen
    Casual is a dark comedy-drama television series that explores the complicated personal lives and relationships of a bachelor, his newly divorced sister, and her teenage daughter living together.
  • B. Casual
    Casual is an American rapper best known as a founding member of the Oakland-based hip hop collective Hieroglyphics.
  • C. T-casual
    T-casual is a popular single-person, multi-trip public transport ticket used across Barcelona’s integrated metro and bus network.
  • D. Placid Casual
    Placid Casual is an independent record label founded by the Welsh band Super Furry Animals to release their own music and that of like-minded artists.
  • E. Loose
    Loose is a surname most notably associated with American composer and arranger William Loose, known for his prolific work in film and television music.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe92e488190b947287a968086d5 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee81fd08190a7e1f5958fbe3b97 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.