Triple

T16190810
Position Surface form Disambiguated ID Type / Status
Subject Daniel Lopatin E392932 entity
Predicate alsoKnownAs P39 FINISHED
Object OPN
OPN is the alias of Daniel Lopatin, an American electronic musician and producer best known for his influential experimental project Oneohtrix Point Never.
 E1199152 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: OPN | Statement: [Daniel Lopatin, alsoKnownAs, OPN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OPN
Context triple: [Daniel Lopatin, alsoKnownAs, OPN]
  • A. OPN2
    OPN2 is a Yamaha FM synthesis sound chip architecture widely used in classic video game consoles and arcade systems for generating rich, distinctive music and sound effects.
  • B. OPNH
    OPNH is the ICAO airport code for Shaheed Benazirabad Airport in Pakistan.
  • C. OPA
    OPA is a U.S. federal law enacted in 1990 that strengthens regulations and liability standards for preventing and responding to oil spills in navigable waters and shorelines.
  • D. OPA
    OPA is a U.S. federal agency within the Department of Health and Human Services that oversees family planning, adolescent health, and related population affairs programs.
  • E. OPA
    OPA is a high-performance computing interconnect architecture developed by Intel to provide low-latency, high-bandwidth communication in large-scale clusters and supercomputers.
  • 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: OPN
Triple: [Daniel Lopatin, alsoKnownAs, OPN]
Generated description
OPN is the alias of Daniel Lopatin, an American electronic musician and producer best known for his influential experimental project Oneohtrix Point Never.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OPN
Target entity description: OPN is the alias of Daniel Lopatin, an American electronic musician and producer best known for his influential experimental project Oneohtrix Point Never.
  • A. OPN2
    OPN2 is a Yamaha FM synthesis sound chip architecture widely used in classic video game consoles and arcade systems for generating rich, distinctive music and sound effects.
  • B. OPNH
    OPNH is the ICAO airport code for Shaheed Benazirabad Airport in Pakistan.
  • C. OPA
    OPA is a U.S. federal law enacted in 1990 that strengthens regulations and liability standards for preventing and responding to oil spills in navigable waters and shorelines.
  • D. OPA
    OPA is a U.S. federal agency within the Department of Health and Human Services that oversees family planning, adolescent health, and related population affairs programs.
  • E. OPA
    OPA is a high-performance computing interconnect architecture developed by Intel to provide low-latency, high-bandwidth communication in large-scale clusters and supercomputers.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d5769c8190bbb604bfa095a1a5 completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff095504819096c36d6c5d131207 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a0002419cec81909e3cec70968b65a4 completed May 10, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0002ad960c81909c308a12da9b65d6 completed May 10, 2026, 3:59 a.m.
Created at: April 10, 2026, 5:02 a.m.