Triple
T4614156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Match Group |
E100826
|
entity |
| Predicate | operatedPlatform |
P1292
|
FINISHED |
| Object |
PlentyOfFish
PlentyOfFish is a popular online dating service and app known for its large user base and free-to-use features.
|
E455754
|
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: PlentyOfFish | Statement: [Match Group, operatedPlatform, PlentyOfFish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PlentyOfFish Context triple: [Match Group, operatedPlatform, PlentyOfFish]
-
A.
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.
-
B.
Lovehunter
Lovehunter is a 1979 hard rock album by British band Whitesnake, noted for its bluesy sound and controversial cover art.
-
C.
Finder
Finder is the primary file management and desktop navigation application for Apple's Macintosh operating systems, providing users with a graphical interface to access and organize files, folders, and drives.
-
D.
Finder
Finder is a Symfony component that provides an intuitive, object-oriented API for locating and filtering files and directories in a filesystem.
-
E.
Burbn
Burbn was a location-based photo-sharing startup that served as the precursor to and foundation for what became Instagram.
- 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: PlentyOfFish Triple: [Match Group, operatedPlatform, PlentyOfFish]
Generated description
PlentyOfFish is a popular online dating service and app known for its large user base and free-to-use features.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PlentyOfFish Target entity description: PlentyOfFish is a popular online dating service and app known for its large user base and free-to-use features.
-
A.
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.
-
B.
Lovehunter
Lovehunter is a 1979 hard rock album by British band Whitesnake, noted for its bluesy sound and controversial cover art.
-
C.
Finder
Finder is the primary file management and desktop navigation application for Apple's Macintosh operating systems, providing users with a graphical interface to access and organize files, folders, and drives.
-
D.
Finder
Finder is a Symfony component that provides an intuitive, object-oriented API for locating and filtering files and directories in a filesystem.
-
E.
Burbn
Burbn was a location-based photo-sharing startup that served as the precursor to and foundation for what became Instagram.
- 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.