Triple

T1981097
Position Surface form Disambiguated ID Type / Status
Subject Frida Kahlo Museum E43026 entity
Predicate alsoKnownAs P39 FINISHED
Object Blue House
The Blue House is the former Mexico City residence of artist Frida Kahlo, now a museum dedicated to her life and work.
 E221937 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: Blue House | Statement: [Frida Kahlo Museum, alsoKnownAs, Blue House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blue House
Context triple: [Frida Kahlo Museum, alsoKnownAs, Blue House]
  • A. Our Song
    "Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
  • B. Seoul Special City
    Seoul Special City is the capital and largest metropolis of South Korea, serving as the country’s political, economic, and cultural center.
  • C. Go East, Young Man
    "Go East, Young Man" is the autobiographical memoir of U.S. Supreme Court Justice William O. Douglas, recounting his early life and rise to the nation’s highest court.
  • D. We Shall Dance
    We Shall Dance is a popular 1971 pop song by Greek singer Demis Roussos that helped establish his international solo career.
  • E. Our Very Own
    "Our Very Own" is a 1950 American drama film starring Ann Blyth and Jane Wyatt that explores the emotional upheaval of a teenager who discovers she is adopted.
  • 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: Blue House
Triple: [Frida Kahlo Museum, alsoKnownAs, Blue House]
Generated description
The Blue House is the former Mexico City residence of artist Frida Kahlo, now a museum dedicated to her life and work.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blue House
Target entity description: The Blue House is the former Mexico City residence of artist Frida Kahlo, now a museum dedicated to her life and work.
  • A. Our Song
    "Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
  • B. Seoul Special City
    Seoul Special City is the capital and largest metropolis of South Korea, serving as the country’s political, economic, and cultural center.
  • C. Go East, Young Man
    "Go East, Young Man" is the autobiographical memoir of U.S. Supreme Court Justice William O. Douglas, recounting his early life and rise to the nation’s highest court.
  • D. We Shall Dance
    We Shall Dance is a popular 1971 pop song by Greek singer Demis Roussos that helped establish his international solo career.
  • E. Our Very Own
    "Our Very Own" is a 1950 American drama film starring Ann Blyth and Jane Wyatt that explores the emotional upheaval of a teenager who discovers she is adopted.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb81ddddc819099acc2740de0b236 completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae032bc30c8190a136a634580571d9 completed March 8, 2026, 11:15 p.m.
NEDg Description generation batch_69ae039b2ce8819089f4cd5d8b96b627 completed March 8, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_69ae042728f48190850848116a371794 completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:37 p.m.