Triple
T18643567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinder U college mode |
E455748
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Tinder |
—
|
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: Tinder | Statement: [Tinder U college mode, operator, Tinder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tinder Context triple: [Tinder U college mode, operator, Tinder]
-
A.
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.
-
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.
Meetic
Meetic is a popular European online dating service that connects singles through web and mobile platforms.
-
D.
Tinder (historically, via Match Group prior to spin-off)
chosen
Tinder (historically, via Match Group prior to its spin-off) is a leading location-based dating and social discovery app best known for popularizing the swipe-based matching interface.
-
E.
Tinder Platinum
Tinder Platinum is a premium subscription tier of the Tinder dating app that offers enhanced features like prioritized likes, message-before-match, and additional Super Likes to increase users’ visibility and match chances.
- 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.