Triple
T2521178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTV Cribs |
E55525
|
entity |
| Predicate | hasSpinOff |
P7226
|
FINISHED |
| Object |
Teen Cribs
Teen Cribs is an MTV reality television spin-off series that showcases the homes and lifestyles of wealthy teenagers.
|
E275645
|
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: Teen Cribs | Statement: [MTV Cribs, hasSpinOff, Teen Cribs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teen Cribs Context triple: [MTV Cribs, hasSpinOff, Teen Cribs]
-
A.
Kids
Kids is a family-friendly programming section of the Sundance Film Festival that showcases films suitable for children and young audiences.
-
B.
KIDL
KIDL is the former ICAO airport code for New York City's Idlewild Airport, which was later renamed John F. Kennedy International Airport.
-
C.
Kiddyland
Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
-
D.
KidZville
KidZville is a children-focused themed area at Canada's Wonderland featuring family-friendly rides, attractions, and entertainment.
-
E.
Baby-G
Baby-G is a line of durable, fashion-oriented digital watches designed by Casio, often featuring shock resistance, water resistance, and colorful, youth-focused styling.
- 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: Teen Cribs Triple: [MTV Cribs, hasSpinOff, Teen Cribs]
Generated description
Teen Cribs is an MTV reality television spin-off series that showcases the homes and lifestyles of wealthy teenagers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teen Cribs Target entity description: Teen Cribs is an MTV reality television spin-off series that showcases the homes and lifestyles of wealthy teenagers.
-
A.
Kids
Kids is a family-friendly programming section of the Sundance Film Festival that showcases films suitable for children and young audiences.
-
B.
KIDL
KIDL is the former ICAO airport code for New York City's Idlewild Airport, which was later renamed John F. Kennedy International Airport.
-
C.
Kiddyland
Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
-
D.
KidZville
KidZville is a children-focused themed area at Canada's Wonderland featuring family-friendly rides, attractions, and entertainment.
-
E.
Baby-G
Baby-G is a line of durable, fashion-oriented digital watches designed by Casio, often featuring shock resistance, water resistance, and colorful, youth-focused styling.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2367b6c819094239dfd12399643 |
completed | March 7, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2ba64390819083ea639eb4c1a1bd |
completed | March 9, 2026, 8:20 p.m. |
| NEDg | Description generation | batch_69af516e6e888190bb5eca3f6b134dcd |
completed | March 9, 2026, 11:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af5223fa948190a7db252c9fc367a5 |
completed | March 9, 2026, 11:05 p.m. |
Created at: March 6, 2026, 9:46 p.m.