Triple

T16108145
Position Surface form Disambiguated ID Type / Status
Subject Eriq La Salle E390795 entity
Predicate actedIn P1668 FINISHED
Object The Human Stain E359776 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: The Human Stain | Statement: [Eriq La Salle, actedIn, The Human Stain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Human Stain
Context triple: [Eriq La Salle, actedIn, The Human Stain]
  • A. The Human Stain chosen
    The Human Stain is a 2000 novel by Philip Roth that explores identity, race, and scandal in late-20th-century America through the downfall of a classics professor with a hidden past.
  • B. The Corrections
    The Corrections is a critically acclaimed novel by Jonathan Franzen that explores the complexities of a Midwestern American family at the turn of the 21st century.
  • C. I Know This Much Is True
    I Know This Much Is True is an HBO limited drama series based on Wally Lamb’s novel, starring Mark Ruffalo in dual roles as twin brothers navigating family trauma and mental illness.
  • D. The Fixer
    "The Fixer" is a 2009 rock song by Pearl Jam, known as the energetic lead single from their album *Backspacer*.
  • E. The Fixer
    The Fixer is a film directed by British filmmaker Justin Chadwick, best known for his work on character-driven dramas.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20165aa9c81908c5358cca2b0d0fe completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba4479c81909f7d43e33f228f7e completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.