Triple

T927826
Position Surface form Disambiguated ID Type / Status
Subject Irises E20023 entity
Predicate originalTitle P65 FINISHED
Object Iris
Iris is a 2001 British biographical drama film about the life and relationships of novelist and philosopher Iris Murdoch.
 E110006 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: Iris | Statement: [Irises, originalTitle, Iris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Iris
Context triple: [Irises, originalTitle, Iris]
  • A. Irises
    Irises is a famous 1889 oil painting by Vincent van Gogh depicting a vibrant cluster of blooming irises, celebrated for its expressive color and dynamic composition.
  • B. Rosa
    Rosa is a genus of flowering plants known for its ornamental roses, prized worldwide for their beauty, fragrance, and cultural symbolism.
  • C. Violeta
    Violeta is a novel by Chilean author Isabel Allende that follows the tumultuous, century-long life of a woman born during the 1918 Spanish flu pandemic.
  • D. Glaukopis
    Glaukopis is an epithet of the Greek goddess Athena that highlights her distinctive bright, gleaming eyes and keen, owl-like gaze.
  • E. Roses
    "Roses" is a soulful, introspective hip-hop track by Kanye West from his critically acclaimed album "Late Registration," reflecting on family, illness, and faith.
  • 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: Iris
Triple: [Irises, originalTitle, Iris]
Generated description
Iris is a 2001 British biographical drama film about the life and relationships of novelist and philosopher Iris Murdoch.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Iris
Target entity description: Iris is a 2001 British biographical drama film about the life and relationships of novelist and philosopher Iris Murdoch.
  • A. Irises
    Irises is a famous 1889 oil painting by Vincent van Gogh depicting a vibrant cluster of blooming irises, celebrated for its expressive color and dynamic composition.
  • B. Rosa
    Rosa is a genus of flowering plants known for its ornamental roses, prized worldwide for their beauty, fragrance, and cultural symbolism.
  • C. Violeta
    Violeta is a novel by Chilean author Isabel Allende that follows the tumultuous, century-long life of a woman born during the 1918 Spanish flu pandemic.
  • D. Glaukopis
    Glaukopis is an epithet of the Greek goddess Athena that highlights her distinctive bright, gleaming eyes and keen, owl-like gaze.
  • E. Roses
    "Roses" is a soulful, introspective hip-hop track by Kanye West from his critically acclaimed album "Late Registration," reflecting on family, illness, and faith.
  • F. None of above. chosen

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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b32de3cc81908a0ef885795677ff completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee0f01ac8190b280829dbc5ef102 completed March 4, 2026, 8:32 a.m.
NEDg Description generation batch_69a7f45b5b808190906419754d355feb completed March 4, 2026, 8:59 a.m.
NED2 Entity disambiguation (via description) batch_69a7f50a2a108190b2748c7e9bba3e06 completed March 4, 2026, 9:02 a.m.
Created at: March 1, 2026, 7:40 p.m.