Triple

T14807164
Position Surface form Disambiguated ID Type / Status
Subject Little Odessa E348066 entity
Predicate productionCompany P490 FINISHED
Object Fine Line Features E116127 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: Fine Line Features | Statement: [Little Odessa, productionCompany, Fine Line Features]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fine Line Features
Context triple: [Little Odessa, productionCompany, Fine Line Features]
  • A. Fine Line Features chosen
    Fine Line Features was an American specialty film distribution company known for releasing independent, foreign, and art-house films in the 1990s and early 2000s.
  • B. Fine Line
    "Fine Line" is a song by Paul McCartney from his 2005 album *Chaos and Creation in the Backyard*, noted for its melodic piano-driven arrangement and reflective lyrics.
  • C. Fine Line (album)
    Fine Line is the critically acclaimed second studio album by English singer-songwriter Harry Styles, known for its blend of pop, rock, and psychedelic influences and introspective lyricism.
  • D. White Line
    "White Line" is a grungy, guitar-driven rock song by Neil Young and Crazy Horse from the 1990 album *Ragged Glory*.
  • E. White Line
    White Line is one of the urban cable car routes in La Paz’s Mi Teleférico network, known for providing high-altitude public transit across the city.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf33b6a08190ab6a4cfeda2cc09c completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c8bc6881908736c029943997ae completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:41 a.m.