Triple

T6486870
Position Surface form Disambiguated ID Type / Status
Subject Ellen Barkin E146533 entity
Predicate notableWork P4 FINISHED
Object Diner E356990 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: Diner | Statement: [Ellen Barkin, notableWork, Diner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diner
Context triple: [Ellen Barkin, notableWork, Diner]
  • A. Diner chosen
    Diner is a 1982 American coming-of-age comedy-drama film directed by Barry Levinson that follows a group of friends reuniting in 1959 Baltimore as they navigate adulthood, relationships, and changing times.
  • B. Mel’s Diner
    Mel’s Diner is a retro-themed American restaurant styled after a classic 1950s diner, known for serving burgers, fries, and milkshakes in a nostalgic setting.
  • C. Dockside Diner
    Dockside Diner is a casual, retro-themed quick-service restaurant located on the shores of Echo Lake in Disney’s Hollywood Studios.
  • D. Frank's Place
    Frank's Place is an American television dramedy series from the late 1980s, acclaimed for its sophisticated storytelling and portrayal of life in New Orleans.
  • E. Eater
    Eater is a science fiction novel by Gregory Benford that explores humanity’s encounter with a mysterious, sentient black hole-like entity.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a706d4c8190b7a3cc8855abcecb completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653b4e91c81908dfa1798a057b21a completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:52 p.m.