Triple

T2326085
Position Surface form Disambiguated ID Type / Status
Subject Spellbound (1945 film) E48290 entity
Predicate costumeDesignBy P184 FINISHED
Object Irene
Irene was a prominent Hollywood costume designer known for her elegant, sophisticated wardrobe creations in classic films of the 1930s and 1940s.
 E76766 NE FINISHED

How this triple was built (4 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: Irene | Statement: [Spellbound (1945 film), costumeDesignBy, Irene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Irene
Context triple: [Spellbound (1945 film), costumeDesignBy, Irene]
  • A. Irene
    Irene is a feminine given name of Greek origin meaning "peace," borne by numerous historical, religious, and contemporary figures worldwide.
  • B. Helene
    Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
  • C. Helene
    Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
  • D. Lucia
    Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
  • E. Christa
    Christa was the first name of Christa McAuliffe, the American teacher and astronaut selected as the first private citizen to fly in space.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Irene
Triple: [Spellbound (1945 film), costumeDesignBy, Irene]
Generated description
Irene was a prominent Hollywood costume designer known for her elegant, sophisticated wardrobe creations in classic films of the 1930s and 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Irene
Target entity description: Irene was a prominent Hollywood costume designer known for her elegant, sophisticated wardrobe creations in classic films of the 1930s and 1940s.
  • A. Irene chosen
    Irene is a feminine given name of Greek origin meaning "peace," borne by numerous historical, religious, and contemporary figures worldwide.
  • B. Helene
    Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
  • C. Helene
    Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
  • D. Lucia
    Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
  • E. Christa
    Christa was the first name of Christa McAuliffe, the American teacher and astronaut selected as the first private citizen to fly in space.
  • F. None of above.

Provenance (5 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc64b62a08190b5a415769ce42645 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae897004308190bc2e335e9caea2ca completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8ace309c8190b57426d1449de723 completed March 9, 2026, 8:54 a.m.
NED2 Entity disambiguation (via description) batch_69ae8b56d8548190aa6a99f3f7d99c3e completed March 9, 2026, 8:56 a.m.
Created at: March 4, 2026, 7:50 p.m.