Triple

T13613852
Position Surface form Disambiguated ID Type / Status
Subject Fireflies E325260 entity
Predicate leadSingle P15292 FINISHED
Object Mississippi Girl E325262 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: Mississippi Girl | Statement: [Fireflies, leadSingle, Mississippi Girl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mississippi Girl
Context triple: [Fireflies, leadSingle, Mississippi Girl]
  • A. Mississippi Girl chosen
    "Mississippi Girl" is a 2005 country single by Faith Hill that reflects her small-town roots and marked a return to a more traditional country sound in her career.
  • B. Missin’ Missippi
    "Missin’ Missippi" is a song featured on the album *Songs Cycled* by Van Dyke Parks.
  • C. Miss the Mississippi and You
    "Miss the Mississippi and You" is a classic country song, popularized by artists such as Emmylou Harris, that nostalgically reflects on longing for home and lost love along the Mississippi River.
  • D. One Mississippi
    One Mississippi is a dark comedy television series co-created by and starring Tig Notaro, loosely based on her life and experiences.
  • E. Mississippi Grind
    Mississippi Grind is a 2015 American drama film about two gamblers on a high-stakes road trip down the Mississippi River, known for its character-driven storytelling and strong performances by Ben Mendelsohn and Ryan Reynolds.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0abe1208190a1e0a32dc141d836 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ae56e2081909c0fd044ce3730a9 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:50 p.m.