Triple

T4880801
Position Surface form Disambiguated ID Type / Status
Subject Nina Agdal E109320 entity
Predicate hasWorkedFor P11675 FINISHED
Object OP (Ocean Pacific)
OP (Ocean Pacific) is an American surf-inspired lifestyle and apparel brand known for its beachwear, swimwear, and casual clothing.
 E477095 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: OP (Ocean Pacific) | Statement: [Nina Agdal, hasWorkedFor, OP (Ocean Pacific)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OP (Ocean Pacific)
Context triple: [Nina Agdal, hasWorkedFor, OP (Ocean Pacific)]
  • A. Atlantic Marine
    Atlantic Marine is a shipbuilding company known for constructing specialized research and commercial vessels.
  • B. Okeanos
    Okeanos is the primordial Greek god personifying the great encircling river believed to surround the world.
  • C. K4s Pacific
    The K4s Pacific was a renowned class of 4-6-2 steam locomotives that served as the primary passenger power for the Pennsylvania Railroad in the first half of the 20th century.
  • D. Aeromar
    Aeromar is a Mexican regional airline that primarily operates domestic and short-haul international flights, with a major operational base in Mexico City.
  • E. Oceano
    Oceano is a small coastal community in California known for its dunes, beaches, and outdoor recreation.
  • 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: OP (Ocean Pacific)
Triple: [Nina Agdal, hasWorkedFor, OP (Ocean Pacific)]
Generated description
OP (Ocean Pacific) is an American surf-inspired lifestyle and apparel brand known for its beachwear, swimwear, and casual clothing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OP (Ocean Pacific)
Target entity description: OP (Ocean Pacific) is an American surf-inspired lifestyle and apparel brand known for its beachwear, swimwear, and casual clothing.
  • A. Atlantic Marine
    Atlantic Marine is a shipbuilding company known for constructing specialized research and commercial vessels.
  • B. Okeanos
    Okeanos is the primordial Greek god personifying the great encircling river believed to surround the world.
  • C. K4s Pacific
    The K4s Pacific was a renowned class of 4-6-2 steam locomotives that served as the primary passenger power for the Pennsylvania Railroad in the first half of the 20th century.
  • D. Aeromar
    Aeromar is a Mexican regional airline that primarily operates domestic and short-haul international flights, with a major operational base in Mexico City.
  • E. Oceano
    Oceano is a small coastal community in California known for its dunes, beaches, and outdoor recreation.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dc071d4819083ea9fd0c73c5f49 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6803a1c081908972984241276c19 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be6aadda048190a5b9276f59080b3e completed March 21, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69be6b0e7ca08190861992a251b3dbd9 completed March 21, 2026, 9:55 a.m.
Created at: March 20, 2026, 1:27 p.m.