Triple

T19626230
Position Surface form Disambiguated ID Type / Status
Subject Hannah Quinlivan E471141 entity
Predicate appearedInTelevisionSeries P26455 FINISHED
Object Ti Amo Chocolate E1386591 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: Ti Amo Chocolate | Statement: [Hannah Quinlivan, appearedInTelevisionSeries, Ti Amo Chocolate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ti Amo Chocolate
Context triple: [Hannah Quinlivan, appearedInTelevisionSeries, Ti Amo Chocolate]
  • A. Ti Amo Chocolate chosen
    Ti Amo Chocolate is a Taiwanese romantic television drama series starring Hannah Quinlivan.
  • B. Caramelo Duro
    Caramelo Duro is a song featured on Miguel’s R&B album "War & Leisure."
  • C. Dame Chocolate
    Dame Chocolate is a Spanish-language telenovela best known for starring Genesis Rodriguez in a leading role.
  • D. Chocolate Me!
    "Chocolate Me!" is a children's picture book that celebrates self-acceptance and embracing one's unique appearance, written by actor and author Taye Diggs.
  • E. Taste of Chocolate
    "Taste of Chocolate" is a 1990 studio album by American rapper Big Daddy Kane that showcases his smooth lyricism over soulful, funk-influenced production.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e9ff208190afb33c910ed2147b completed April 20, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a077ede2da081909e6fcf36e5aff175 completed May 15, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:44 p.m.