Triple

T15712035
Position Surface form Disambiguated ID Type / Status
Subject The One I Love E380861 entity
Predicate producer P490 FINISHED
Object Mel Eslyn E315752 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: Mel Eslyn | Statement: [The One I Love, producer, Mel Eslyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mel Eslyn
Context triple: [The One I Love, producer, Mel Eslyn]
  • A. Mel Eslyn chosen
    Mel Eslyn is an American film and television producer known for her frequent collaborations with the Duplass Brothers and work on acclaimed indie projects.
  • B. Negah Santos
    Negah Santos is a Brazilian percussionist and multi-instrumentalist best known for performing in Jon Batiste’s house band Stay Human on The Late Show with Stephen Colbert.
  • C. Leslie Marr
    Leslie Marr was a British landscape painter and amateur racing driver known for competing in Formula One in the 1950s while pursuing a successful artistic career.
  • D. Leslie Lopez
    Leslie Lopez is a member of the Lopez family and a daughter of Guadalupe Rodríguez, known in part through her connection to her more publicly recognized relatives.
  • E. Everly Carganilla
    Everly Carganilla is a young American child actress known for roles in film and television, including the Netflix series "The Chair."
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8f5d6081908243fa59b46b7c76 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757f571881908015fe68df2a5e69 completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.