Triple
T3637284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TMU Bold |
E77102
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | TMU Bold |
E77102
|
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: TMU Bold | Statement: [TMU Bold, shortName, TMU Bold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TMU Bold Context triple: [TMU Bold, shortName, TMU Bold]
-
A.
TMU Bold
chosen
TMU Bold is the varsity athletics program representing Toronto Metropolitan University in intercollegiate sports competitions.
-
B.
Gill Sans
Gill Sans is a widely used British humanist sans-serif typeface designed by Eric Gill, known for its clean, modern look and extensive use in signage and branding.
-
C.
Lato
Lato is a Polish surname most famously borne by Grzegorz Lato, a legendary Polish footballer and World Cup Golden Boot winner.
-
D.
Johnston typeface
Johnston typeface is a humanist sans-serif typeface designed in the early 20th century by Edward Johnston, best known as the iconic lettering used across the London Underground network.
-
E.
Caslon
Caslon is a casual, contemporary women's clothing and footwear brand known for its comfortable basics and everyday wardrobe staples, often sold at Nordstrom.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc328e5e481909d26318c743bc84a |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f23298481909d313d6b3f8013cd |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:24 p.m.