Triple

T18643833
Position Surface form Disambiguated ID Type / Status
Subject Match.com E455753 entity
Predicate competitor P1375 FINISHED
Object OkCupid NE NERFINISHED

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.com, competitor, OkCupid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OkCupid
Context triple: [Match.com, competitor, 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. eHarmony
    eHarmony is an online dating platform known for its detailed compatibility-based matching system designed to foster long-term relationships.
  • C. Match.com
    Match.com is one of the earliest and most prominent online dating services, connecting singles worldwide through its web and mobile platforms.
  • D. 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.
  • E. Lovehunter
    Lovehunter is a 1979 hard rock album by British band Whitesnake, noted for its bluesy sound and controversial cover art.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500b6d7c8190b807b772980d913c completed April 19, 2026, 9:58 p.m.
Created at: April 10, 2026, 11:47 a.m.