Triple

T10848075
Position Surface form Disambiguated ID Type / Status
Subject Mike Del Rio E256068 entity
Predicate workedOn P3 FINISHED
Object "Lotus"
"Lotus" is a song co-written and produced by Mike Del Rio, known for its polished pop production and emotive, atmospheric sound.
 E889722 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: "Lotus" | Statement: [Mike Del Rio, workedOn, "Lotus"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: "Lotus"
Context triple: [Mike Del Rio, workedOn, "Lotus"]
  • A. "Lotus"
    "Lotus" is a song by American singer-songwriter Jamie Hartman, known for its emotive vocals and introspective pop-rock style.
  • B. Lotus Blossom
    "Lotus Blossom" is a jazz composition by Billy Strayhorn, celebrated for its lyrical melody and rich harmonic sophistication.
  • C. The Lotus
    The Lotus is a component or segment of the larger work "The Broken Wing," likely representing a distinct chapter, section, or thematic part within that overall creation.
  • D. The Lotus
    The Lotus is a distinctive stage at Belgium’s Tomorrowland electronic dance music festival, known for its elaborate design and immersive audiovisual experience.
  • E. Lotus Long
    Lotus Long was an American actress and occasional screenwriter of Asian descent who appeared in numerous Hollywood films from the 1920s through the 1940s, often in ethnically stereotyped roles.
  • 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: "Lotus"
Triple: [Mike Del Rio, workedOn, "Lotus"]
Generated description
"Lotus" is a song co-written and produced by Mike Del Rio, known for its polished pop production and emotive, atmospheric sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: "Lotus"
Target entity description: "Lotus" is a song co-written and produced by Mike Del Rio, known for its polished pop production and emotive, atmospheric sound.
  • A. "Lotus"
    "Lotus" is a song by American singer-songwriter Jamie Hartman, known for its emotive vocals and introspective pop-rock style.
  • B. Lotus Blossom
    "Lotus Blossom" is a jazz composition by Billy Strayhorn, celebrated for its lyrical melody and rich harmonic sophistication.
  • C. The Lotus
    The Lotus is a component or segment of the larger work "The Broken Wing," likely representing a distinct chapter, section, or thematic part within that overall creation.
  • D. The Lotus
    The Lotus is a distinctive stage at Belgium’s Tomorrowland electronic dance music festival, known for its elaborate design and immersive audiovisual experience.
  • E. Lotus Long
    Lotus Long was an American actress and occasional screenwriter of Asian descent who appeared in numerous Hollywood films from the 1920s through the 1940s, often in ethnically stereotyped roles.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75114ca988190a0e730131adb2df0 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb170e714819097babb2b850342d2 completed April 14, 2026, 9:28 p.m.
NEDg Description generation batch_69dec255abb08190bf93573c41aa35e9 completed April 14, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69dec7c48c3c81909365b901830f0906 completed April 14, 2026, 11:03 p.m.
Created at: April 8, 2026, 9:20 p.m.