Triple

T10322366
Position Surface form Disambiguated ID Type / Status
Subject Andrew Dominik E242665 entity
Predicate wrote P2831 FINISHED
Object Blonde E199797 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: Blonde | Statement: [Andrew Dominik, wrote, Blonde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blonde
Context triple: [Andrew Dominik, wrote, Blonde]
  • A. Blonde
    Blonde is a 2007 pop album by French singer Alizée that marked a stylistic evolution in her music career.
  • B. Blonde chosen
    Blonde is a 2022 psychological drama film written and directed by Andrew Dominik, loosely adapting Joyce Carol Oates’s novel to present a fictionalized, impressionistic portrayal of Marilyn Monroe’s life and career.
  • C. Blonde
    Blonde is Frank Ocean’s critically acclaimed 2016 studio album that blends R&B, avant-pop, and introspective songwriting.
  • D. Blonded
    Blonded is Frank Ocean’s independent music label and creative platform used to release his work and related projects.
  • E. Blonde (novel)
    Blonde is a 2000 biographical novel by Joyce Carol Oates that offers a fictionalized, psychologically rich reimagining of the life and inner world of Marilyn Monroe.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cce38c8190bfa0f2fb53ed0065 completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d794f3a130819095a8befd8fa3a9f0 completed April 9, 2026, noon
Created at: April 6, 2026, 11:50 a.m.