Triple
T22360381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Tire Bank |
E552762
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Mark’s |
—
|
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: Mark’s | Statement: [Canadian Tire Bank, associatedWith, Mark’s]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark’s Context triple: [Canadian Tire Bank, associatedWith, Mark’s]
-
A.
Mark's
chosen
Mark's is a Canadian retail chain specializing in casual and workwear clothing, footwear, and accessories.
-
B.
John Mark
John Mark is a New Testament figure traditionally regarded as the author of the Gospel of Mark and a companion of the apostles Peter and Paul.
-
C.
John Mark
John Mark was a British athlete best known for lighting the Olympic cauldron at the opening ceremony of the 1948 London Summer Olympics.
-
D.
Mark 3A
Mark 3A is a sub-type of British Rail’s Mark 3 passenger coach design, featuring updated interiors and technical refinements for improved comfort and performance.
-
E.
Mark
Mark is a quirky, music-obsessed employee at the independent record store in the 1995 cult film "Empire Records," known for his goofy charm and laid-back attitude.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d3852c819082518851568e1b51 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:44 p.m.