Triple

T6437544
Position Surface form Disambiguated ID Type / Status
Subject Melissa Fumero E129935 entity
Predicate appearedIn P795 FINISHED
Object Royal Pains E279635 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: Royal Pains | Statement: [Melissa Fumero, appearedIn, Royal Pains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Royal Pains
Context triple: [Melissa Fumero, appearedIn, Royal Pains]
  • A. Royal Pains chosen
    Royal Pains is an American comedy-drama television series about a concierge doctor serving wealthy clients in the Hamptons.
  • B. Nip/Tuck
    Nip/Tuck is an American television drama series that follows the personal and professional lives of two Miami plastic surgeons, known for its provocative themes and dark, character-driven storytelling.
  • C. St. Elsewhere
    St. Elsewhere is an acclaimed 1980s American medical drama television series known for its ensemble cast, gritty realism, and influential storytelling.
  • D. Nurse Jackie
    Nurse Jackie is an American dark comedy-drama television series that follows a brilliant but drug-addicted emergency room nurse navigating the chaos of work, family, and personal demons.
  • E. Lie to Me
    Lie to Me is an American crime drama television series centered on a deception expert who assists law enforcement by analyzing facial expressions and body language to detect lies.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06964186c8190aeeb0038f4696032 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640f56ee881909f7b7f0909e1d701 completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:45 p.m.