Triple

T12869397
Position Surface form Disambiguated ID Type / Status
Subject Still Alice E307807 entity
Predicate screenwriter P2831 FINISHED
Object Richard Glatzer E1007745 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: Richard Glatzer | Statement: [Still Alice, screenwriter, Richard Glatzer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Glatzer
Context triple: [Still Alice, screenwriter, Richard Glatzer]
  • A. Richard Glatzer chosen
    Richard Glatzer was an American filmmaker and screenwriter best known for his emotionally resonant independent dramas, often co-directed with his husband Wash Westmoreland.
  • B. Daniel Licht
    Daniel Licht was an American composer best known for his dark, atmospheric scores for film and television, particularly the acclaimed crime drama series "Dexter."
  • C. Michael Seitzman
    Michael Seitzman is an American screenwriter and producer known for his work on films such as "North Country" and for creating and producing several television series.
  • D. Jane Kurson
    Jane Kurson is a film editor best known for her work on the 1988 fantasy-comedy film "Beetlejuice."
  • E. Michael Greif
    Michael Greif is an American theatre director best known for staging acclaimed Broadway musicals such as Rent, Next to Normal, and Dear Evan Hansen.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708f510c8190b4c64dc340420e85 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55161a881908d767653c17d3acc completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:38 p.m.