Triple

T4614168
Position Surface form Disambiguated ID Type / Status
Subject Match Group E100826 entity
Predicate ownsBrand P1500 FINISHED
Object PlentyOfFish E455754 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: PlentyOfFish | Statement: [Match Group, ownsBrand, PlentyOfFish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PlentyOfFish
Context triple: [Match Group, ownsBrand, PlentyOfFish]
  • A. PlentyOfFish chosen
    PlentyOfFish is a popular online dating service and app known for its large user base and free-to-use features.
  • 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. Grindr
    Grindr is a location-based social networking and online dating app primarily used by gay, bi, trans, and queer people to meet and connect.
  • 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 (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_69bd59c2678c8190ab8f9420e866521d completed March 20, 2026, 2:29 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.