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.