Triple

T3912436
Position Surface form Disambiguated ID Type / Status
Subject Gesaffelstein E87353 entity
Predicate notableWork P4 FINISHED
Object OPR
OPR is a dark, industrial-tinged electronic track by French techno producer Gesaffelstein, recognized as one of his signature works.
 E399040 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: OPR | Statement: [Gesaffelstein, notableWork, OPR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OPR
Context triple: [Gesaffelstein, notableWork, OPR]
  • A. OPR
    OPR is the post-nominal abbreviation used by recipients of the Polish state order known as the Order of Polonia Restituta.
  • B. O.P.
    O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
  • C. O.P.
    O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
  • D. 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.
  • E. OPP
    OPP is a division within the Technology Transformation Services focused on managing and delivering digital products and programs across the U.S. federal government.
  • 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: OPR
Triple: [Gesaffelstein, notableWork, OPR]
Generated description
OPR is a dark, industrial-tinged electronic track by French techno producer Gesaffelstein, recognized as one of his signature works.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OPR
Target entity description: OPR is a dark, industrial-tinged electronic track by French techno producer Gesaffelstein, recognized as one of his signature works.
  • A. OPR
    OPR is the post-nominal abbreviation used by recipients of the Polish state order known as the Order of Polonia Restituta.
  • B. O.P.
    O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
  • C. O.P.
    O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
  • D. 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.
  • E. OPP
    OPP is a division within the Technology Transformation Services focused on managing and delivering digital products and programs across the U.S. federal government.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed37b19c81908e690c495d96607f completed March 9, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5285851248190a18cea371aacbc49 completed March 14, 2026, 9:20 a.m.
NEDg Description generation batch_69b5292b13a08190bf23231285adae38 completed March 14, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_69b529600884819098cb208e38e6281a completed March 14, 2026, 9:24 a.m.
Created at: March 9, 2026, 3:22 p.m.