Triple

T8336465
Position Surface form Disambiguated ID Type / Status
Subject Justin Chadwick E195798 entity
Predicate directed P7373 FINISHED
Object Tulip Fever E136616 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: Tulip Fever | Statement: [Justin Chadwick, directed, Tulip Fever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tulip Fever
Context triple: [Justin Chadwick, directed, Tulip Fever]
  • A. Tulip Fever chosen
    Tulip Fever is a historical romantic drama film set during the 17th-century Dutch tulip mania, based on Deborah Moggach’s novel of the same name.
  • B. The Black Tulip
    The Black Tulip is a historical novel by Alexandre Dumas that blends political intrigue, romance, and a competition to cultivate a rare black tulip in 17th-century Holland.
  • C. Ruby Sparks
    Ruby Sparks is a 2012 romantic comedy-drama film about a novelist whose fictional dream girl unexpectedly comes to life, written by and starring Zoe Kazan alongside Paul Dano.
  • D. Tulips and Chimneys
    Tulips and Chimneys is E. E. Cummings’ first major poetry collection, noted for its experimental style, unconventional punctuation, and modernist themes.
  • E. The Wallflower
    "The Wallflower" is a 1955 R&B song by Etta James, also known as "Roll with Me, Henry," that became one of her early breakout hits and a classic of the genre.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd3fc80819097b326119107ad4d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc71005f0819092c46fa5a43f2a15 completed April 2, 2026, 1:32 a.m.
Created at: March 30, 2026, 5:57 p.m.