Triple
T18643661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hinge |
E455750
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hinge |
—
|
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: Hinge | Statement: [Hinge, name, Hinge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hinge Context triple: [Hinge, name, Hinge]
-
A.
Hinge
chosen
Hinge is a dating app designed to foster serious, long-term relationships by encouraging users to build detailed profiles and engage in more meaningful conversations.
-
B.
The Hook Up
"The Hook Up" is a reggae-influenced R&B song by Britney Spears from her 2003 album *In the Zone*.
-
C.
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.
-
D.
The MatchMaker
The MatchMaker is a romantic comedy film best known for its lighthearted story about love and relationships, released in the late 1990s.
-
E.
A Perfect Match
"A Perfect Match" is a pop song by Swedish teen pop group A-Teens, known for its catchy melody and upbeat, dance-oriented production.
- 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.