Triple

T4614169
Position Surface form Disambiguated ID Type / Status
Subject Match Group E100826 entity
Predicate ownsBrand P1500 FINISHED
Object OurTime E455755 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: OurTime | Statement: [Match Group, ownsBrand, OurTime]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OurTime
Context triple: [Match Group, ownsBrand, OurTime]
  • A. OurTime chosen
    OurTime is an online dating platform specifically designed to help singles over 50 connect for relationships and companionship.
  • B. datetime
    datetime is a Python standard library module that supplies classes for manipulating dates, times, and time intervals.
  • C. Clock and Region
    Clock and Region is a Windows Control Panel section that lets users configure date, time, time zones, and regional settings such as formats and location.
  • D. Time Changer
    Time Changer is a 2002 Christian science fiction film about a 19th-century Bible professor who time-travels to the modern era to witness the moral consequences of separating Jesus' teachings from everyday life.
  • E. Time
    "Time" is a 1981 concept album by Electric Light Orchestra that blends rock and synth-pop in a futuristic, time-travel-themed narrative.
  • 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.