Triple

T9459556
Position Surface form Disambiguated ID Type / Status
Subject Max von Sydow E228106 entity
Predicate notableWork P4 FINISHED
Object Awakenings E218585 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: Awakenings | Statement: [Max von Sydow, notableWork, Awakenings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Awakenings
Context triple: [Max von Sydow, notableWork, Awakenings]
  • A. Awakenings chosen
    Awakenings is a 1990 drama film, based on Oliver Sacks' memoir and starring Robin Williams and Robert De Niro, about catatonic patients temporarily revived by a new drug.
  • B. The Patient
    The Patient is a psychological thriller television miniseries centered on a therapist held captive by a serial killer who demands treatment.
  • C. Lorenzo's Oil
    Lorenzo's Oil is a 1992 biographical drama film about parents searching for a treatment for their son's rare genetic disorder, starring Susan Sarandon and Nick Nolte.
  • D. Brain on Fire
    Brain on Fire is a 2016 biographical drama film based on Susannah Cahalan’s memoir about her sudden descent into and recovery from a rare autoimmune brain disease.
  • E. Flowers for Algernon
    Flowers for Algernon is a science fiction novel by Daniel Keyes that follows a man with intellectual disabilities who undergoes an experimental procedure to dramatically increase his intelligence, with profound and tragic consequences.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fc916348190aeb3874a89071677 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122965aa48190bb35202b8dd0fdbd completed April 4, 2026, 2:39 p.m.
Created at: March 30, 2026, 7:52 p.m.