Triple

T3130786
Position Surface form Disambiguated ID Type / Status
Subject Chester French E65406 entity
Predicate notableWork P4 FINISHED
Object Ciroc Star
"Ciroc Star" is a song by the American indie pop band Chester French, known for its blend of catchy melodies and polished, genre-blurring production.
E329680 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: Ciroc Star | Statement: [Chester French, notableWork, Ciroc Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ciroc Star
Context triple: [Chester French, notableWork, Ciroc Star]
  • A. Hennessy
    Hennessy is a surname most prominently associated with John L. Hennessy, a renowned computer scientist and former president of Stanford University.
  • B. Hennessy
    Hennessy is a world-renowned French cognac producer, recognized as one of the leading and most prestigious brands in the global spirits industry.
  • C. Amrut
    Amrut is a celebrated Marathi poetry collection by Vishnu Vaman Shirwadkar (Kusumagraj), known for its lyrical depth and humanistic themes.
  • D. Cognac
    Cognac is a renowned French town in the Charente department, famous worldwide as the center of production for the eponymous brandy.
  • E. Krug
    Krug is the traditional Cossack communal assembly that served as their highest decision-making and self-governing body.
  • 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: Ciroc Star
Triple: [Chester French, notableWork, Ciroc Star]
Generated description
"Ciroc Star" is a song by the American indie pop band Chester French, known for its blend of catchy melodies and polished, genre-blurring production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ciroc Star
Target entity description: "Ciroc Star" is a song by the American indie pop band Chester French, known for its blend of catchy melodies and polished, genre-blurring production.
  • A. Hennessy
    Hennessy is a surname most prominently associated with John L. Hennessy, a renowned computer scientist and former president of Stanford University.
  • B. Hennessy
    Hennessy is a world-renowned French cognac producer, recognized as one of the leading and most prestigious brands in the global spirits industry.
  • C. Amrut
    Amrut is a celebrated Marathi poetry collection by Vishnu Vaman Shirwadkar (Kusumagraj), known for its lyrical depth and humanistic themes.
  • D. Cognac
    Cognac is a renowned French town in the Charente department, famous worldwide as the center of production for the eponymous brandy.
  • E. Krug
    Krug is the traditional Cossack communal assembly that served as their highest decision-making and self-governing body.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada54b0e688190b691771f17f4c721 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f7f9e288190af5f2b2aa6ff63b3 completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b2135fced48190ab6010e46a1343fd completed March 12, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_69b213badfec8190a31dab2b57eb0d7f completed March 12, 2026, 1:15 a.m.
Created at: March 8, 2026, 3:04 p.m.