Triple
T4614121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinder |
E100825
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object |
Super Like
Super Like is a Tinder feature that lets users show heightened interest in a potential match, signaling they stand out from regular swipes.
|
E455746
|
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: Super Like | Statement: [Tinder, hasFeature, Super Like]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Super Like Context triple: [Tinder, hasFeature, Super Like]
-
A.
Friend Like Me
"Friend Like Me" is a show-stopping, jazz-infused musical number from Disney’s animated film Aladdin, performed by the Genie as he demonstrates his magical powers.
-
B.
Like That
"Like That" is a song featured on the Black Eyed Peas' album "Monkey Business."
-
C.
Do Like You
"Do Like You" is a song by Stevie Wonder from his acclaimed 1980 album *Hotter than July*.
-
D.
Be Like That
"Be Like That" is a rock ballad by American band 3 Doors Down, best known for its introspective lyrics about life choices and regret and for its popularity in the early 2000s.
-
E.
Ass Like That
"Ass Like That" is a sultry, R&B-infused song by Victoria Monét that showcases her sensual lyricism and smooth, groove-driven production.
- 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: Super Like Triple: [Tinder, hasFeature, Super Like]
Generated description
Super Like is a Tinder feature that lets users show heightened interest in a potential match, signaling they stand out from regular swipes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Super Like Target entity description: Super Like is a Tinder feature that lets users show heightened interest in a potential match, signaling they stand out from regular swipes.
-
A.
Friend Like Me
"Friend Like Me" is a show-stopping, jazz-infused musical number from Disney’s animated film Aladdin, performed by the Genie as he demonstrates his magical powers.
-
B.
Like That
"Like That" is a song featured on the Black Eyed Peas' album "Monkey Business."
-
C.
Do Like You
"Do Like You" is a song by Stevie Wonder from his acclaimed 1980 album *Hotter than July*.
-
D.
Be Like That
"Be Like That" is a rock ballad by American band 3 Doors Down, best known for its introspective lyrics about life choices and regret and for its popularity in the early 2000s.
-
E.
Ass Like That
"Ass Like That" is a sultry, R&B-infused song by Victoria Monét that showcases her sensual lyricism and smooth, groove-driven production.
- 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_69bd59c2678c8190ab8f9420e866521d |
completed | March 20, 2026, 2:29 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.