Triple
T14839053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coffee House Shots |
E348907
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Coffee House blog |
E348907
|
NE FINISHED |
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: Coffee House blog | Statement: [Coffee House Shots, basedOn, Coffee House blog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coffee House blog Context triple: [Coffee House Shots, basedOn, Coffee House blog]
-
A.
Coffee House
Coffee House is a casual establishment where people gather to enjoy coffee, light refreshments, and social conversation in a relaxed setting.
-
B.
Café Lab
Café Lab is a café-style social and collaborative space within Knowledge Capital, designed to foster interaction, creativity, and idea exchange among visitors.
-
C.
Coffee House Shots
chosen
Coffee House Shots is a political podcast produced by The Spectator that offers rapid analysis and discussion of current UK politics and Westminster gossip.
-
D.
Café
Café is a renowned modernist painting by Brazilian artist Cândido Portinari that depicts coffee plantation workers and highlights the social realities of rural labor in Brazil.
-
E.
Coffee Time
Coffee Time is a song featured in the "Coffee Time" sequence, likely themed around the rituals or atmosphere of drinking coffee.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28e40f08190b309d8ac6404d2fc |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a813b881908a71350073c8fc5c |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:52 a.m.