Triple
T23002647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telephone |
E572672
|
entity |
| Predicate | containsProductPlacement |
P101226
|
FINISHED |
| Object | PlentyOfFish |
—
|
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: PlentyOfFish | Statement: [Telephone, containsProductPlacement, PlentyOfFish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PlentyOfFish Context triple: [Telephone, containsProductPlacement, PlentyOfFish]
-
A.
PlentyOfFish
chosen
PlentyOfFish is a popular online dating service and app known for its large user base and free-to-use features.
-
B.
Meetic
Meetic is a popular European online dating service that connects singles through web and mobile platforms.
-
C.
Match.com
Match.com is one of the earliest and most prominent online dating services, connecting singles worldwide through its web and mobile platforms.
-
D.
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.
-
E.
eHarmony
eHarmony is an online dating platform known for its detailed compatibility-based matching system designed to foster long-term relationships.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183549bdc81908fdcd44e2c92f7c4 |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:50 p.m.