Triple
T9678757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Casbah Coffee Club |
E234229
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Mona Best |
E470092
|
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: Mona Best | Statement: [The Casbah Coffee Club, foundedBy, Mona Best]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mona Best Context triple: [The Casbah Coffee Club, foundedBy, Mona Best]
-
A.
Mona Best
chosen
Mona Best was the mother of original Beatles drummer Pete Best and the owner of Liverpool’s Casbah Coffee Club, an important early venue in the band’s history.
-
B.
Sarah Monzani
Sarah Monzani is a film makeup artist known for her work on notable productions including the prehistoric adventure movie "Quest for Fire."
-
C.
Mona McKinnon
Mona McKinnon was an American actress best known for her role in Ed Wood’s cult science-fiction film "Plan 9 from Outer Space."
-
D.
Mona Sutphen
Mona Sutphen is an American foreign policy expert and former White House official who served in senior national security and diplomatic roles under President Barack Obama.
-
E.
Betsy Rue
Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9b01708190aaf51cf4d36015a0 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a34adec8190a4a260d029e408aa |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:16 p.m.