Triple
T4614157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Match Group |
E100826
|
entity |
| Predicate | operatedPlatform |
P1292
|
FINISHED |
| Object |
OurTime
OurTime is an online dating platform specifically designed to help singles over 50 connect for relationships and companionship.
|
E455755
|
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: OurTime | Statement: [Match Group, operatedPlatform, OurTime]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OurTime Context triple: [Match Group, operatedPlatform, OurTime]
-
A.
datetime
datetime is a Python standard library module that supplies classes for manipulating dates, times, and time intervals.
-
B.
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.
-
C.
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.
-
D.
Time
"Time" is a 1981 concept album by Electric Light Orchestra that blends rock and synth-pop in a futuristic, time-travel-themed narrative.
-
E.
Time
Time is a major American news magazine known for its influential coverage of current events, politics, and culture.
- 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: OurTime Triple: [Match Group, operatedPlatform, OurTime]
Generated description
OurTime is an online dating platform specifically designed to help singles over 50 connect for relationships and companionship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OurTime Target entity description: OurTime is an online dating platform specifically designed to help singles over 50 connect for relationships and companionship.
-
A.
datetime
datetime is a Python standard library module that supplies classes for manipulating dates, times, and time intervals.
-
B.
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.
-
C.
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.
-
D.
Time
"Time" is a 1981 concept album by Electric Light Orchestra that blends rock and synth-pop in a futuristic, time-travel-themed narrative.
-
E.
Time
Time is a major American news magazine known for its influential coverage of current events, politics, and culture.
- 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_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_69bdfa895b7481909e54cfa56a54c8dc |
completed | March 21, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69bdfb83b5d08190b2d8502e763a0841 |
completed | March 21, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfc105e6c8190b21e3c8e7076e9ff |
completed | March 21, 2026, 2:01 a.m. |
Created at: March 20, 2026, 1:12 p.m.