Triple

T4614155
Position Surface form Disambiguated ID Type / Status
Subject Match Group E100826 entity
Predicate operatedPlatform P1292 FINISHED
Object OkCupid E455751 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: OkCupid | Statement: [Match Group, operatedPlatform, OkCupid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OkCupid
Context triple: [Match Group, operatedPlatform, OkCupid]
  • A. OkCupid chosen
    OkCupid is an online dating platform known for its detailed questionnaires and algorithm-based matching that focuses on compatibility and inclusivity.
  • B. Match.com
    Match.com is one of the earliest and most prominent online dating services, connecting singles worldwide through its web and mobile platforms.
  • C. Matchmakers
    Matchmakers is a popular Ukrainian comedy television series produced by Kvartal 95 Studio that follows the humorous clashes and relationships between two very different families.
  • D. Lovehunter
    Lovehunter is a 1979 hard rock album by British band Whitesnake, noted for its bluesy sound and controversial cover art.
  • E. LoveStoned
    "LoveStoned" is a hit pop-R&B song by Justin Timberlake from his 2006 album FutureSex/LoveSounds, known for its distinctive two-part structure and innovative production.
  • 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6234e8108190b985270b9ddd1f3a completed March 20, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be035629248190a8723b5f1f9e57bc completed March 21, 2026, 2:32 a.m.
Created at: March 20, 2026, 1:12 p.m.