Triple

T12391847
Position Surface form Disambiguated ID Type / Status
Subject The Mindy Project E296011 entity
Predicate hasCastMember P2308 FINISHED
Object Fortune Feimster E570841 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: Fortune Feimster | Statement: [The Mindy Project, hasCastMember, Fortune Feimster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fortune Feimster
Context triple: [The Mindy Project, hasCastMember, Fortune Feimster]
  • A. Fortune Feimster chosen
    Fortune Feimster is an American stand-up comedian, writer, and actress known for her self-deprecating humor and roles in television and film comedies.
  • B. Laura Roberts
    Laura Roberts is known primarily as the wife of American television and film composer Earle Hagen.
  • C. Noelle Lippman
    Noelle Lippman is an American actress and former model best known for being married to television producer Dick Wolf.
  • D. Jennifer Poots
    Jennifer Poots is known as the wife of Northern Irish politician Edwin Poots.
  • E. Lisa Reisert
    Lisa Reisert is the resourceful and determined protagonist of the thriller film "Red Eye," who becomes entangled in a high-stakes assassination plot during a red-eye flight.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd0bcc48190bb1a59a3aaa6bfdf completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b941d208190b75de2083b8b74a4 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:54 p.m.