Triple

T23442744
Position Surface form Disambiguated ID Type / Status
Subject Dan Mintz as Tina Belcher E565445 entity
Predicate characterRomanticInterest P26473 FINISHED
Object Jimmy Pesto Jr. NE NERFINISHED

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: Jimmy Pesto Jr. | Statement: [Dan Mintz as Tina Belcher, characterRomanticInterest, Jimmy Pesto Jr.]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: characterRomanticInterest
Context triple: [Dan Mintz as Tina Belcher, characterRomanticInterest, Jimmy Pesto Jr.]
  • A. romanticPartnerInSeries
    Indicates that one character is portrayed as a romantic partner of another character within the context of a specific series or narrative.
  • B. hasRomanticTensionWith chosen
    Indicates a mutual or one-sided romantic attraction or unresolved romantic interest existing between two entities.
  • C. literaryRelationship
    Indicates a relationship between entities that are connected through literature, such as authorship, influence, adaptation, or other text-based associations.
  • D. romanticPartnerInSpinOff
    Indicates that two characters are depicted as romantic partners specifically within a spin-off work, rather than (or in addition to) the original series.
  • E. characterActorRelationship
    Indicates a relationship where an actor portrays or is associated with a specific character in a work.
  • F. None of above.

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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64654e88190b530958b27b32412 completed April 29, 2026, 6:33 a.m.
PD Predicate disambiguation batch_69f061f92da081908e7f1d0cd1e9b01c completed April 28, 2026, 7:30 a.m.
Created at: April 17, 2026, 5:51 p.m.