Triple
T13793457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cool |
E331455
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Prolyfic |
E1061336
|
NE FINISHED |
How this triple was built (2 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: Prolyfic | Statement: [The Cool, producer, Prolyfic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prolyfic Context triple: [The Cool, producer, Prolyfic]
-
A.
Prolyfic
chosen
Prolyfic is a hip-hop music producer best known for his work on Lupe Fiasco’s acclaimed debut album "Food & Liquor."
-
B.
Primordial Productions
Primordial Productions is a film production company known for producing the Irish historical drama film "Black 47."
-
C.
Indelible Productions
Indelible Productions is a film production company best known for its work on the thriller movie "Panic Room."
-
D.
World Wide Productions
World Wide Productions is a film production company known for its involvement in classic mid-20th-century cinema, including the romantic heist comedy "How to Steal a Million."
-
E.
Nova Mob
Nova Mob is a fictional criminal organization of intergalactic villains featured in William S. Burroughs’ novel "Nova Express."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0258a1408190a837d17c6d6a2bd4 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d893448190b37ecbf8d2ded239 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.