Triple

T21397171
Position Surface form Disambiguated ID Type / Status
Subject Icehouse E527815 entity
Predicate formerName P65 FINISHED
Object Flowers
Flowers was the original name of the Australian rock band Icehouse, known for its new wave and synth-pop hits in the 1980s.
 E1482677 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: Flowers | Statement: [Icehouse, formerName, Flowers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Flowers
Context triple: [Icehouse, formerName, Flowers]
  • A. Flowers
    Flowers is a common English surname shared by various notable individuals across fields such as sports, music, and politics.
  • B. Flowers
    "Flowers" is a 2023 pop single by Miley Cyrus that became a global hit for its empowering lyrics about self-love and independence.
  • C. Flowers
    "Flowers" is a poignant song from the musical *Hadestown* that explores themes of love, loss, and memory through Eurydice’s perspective.
  • D. Flowers
    Flowers is a dark British comedy-drama television series that explores the dysfunctional lives of the eccentric Flowers family.
  • E. Flowers and Trees
    Flowers and Trees is a 1932 Disney animated short film celebrated as the first commercially released cartoon produced in full three-strip Technicolor.
  • 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: Flowers
Triple: [Icehouse, formerName, Flowers]
Generated description
Flowers was the original name of the Australian rock band Icehouse, known for its new wave and synth-pop hits in the 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Flowers
Target entity description: Flowers was the original name of the Australian rock band Icehouse, known for its new wave and synth-pop hits in the 1980s.
  • A. Flowers
    Flowers is a common English surname shared by various notable individuals across fields such as sports, music, and politics.
  • B. Flowers
    "Flowers" is a 2023 pop single by Miley Cyrus that became a global hit for its empowering lyrics about self-love and independence.
  • C. Flowers
    Flowers is a dark British comedy-drama television series that explores the dysfunctional lives of the eccentric Flowers family.
  • D. Flowers
    "Flowers" is a poignant song from the musical *Hadestown* that explores themes of love, loss, and memory through Eurydice’s perspective.
  • E. Flowers and Trees
    Flowers and Trees is a 1932 Disney animated short film celebrated as the first commercially released cartoon produced in full three-strip Technicolor.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b11a2aec8190a60e53b90d0823b1 completed April 22, 2026, 11:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09bb4d8e34819084b8f3f172dd72e1 completed May 17, 2026, 12:57 p.m.
NEDg Description generation batch_6a09bea3994481908b7a782fd384603a completed May 17, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09bf9d2d508190a45847afa0d47337 completed May 17, 2026, 1:16 p.m.
Created at: April 16, 2026, 5:13 p.m.