Triple
T21275782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cezary Skubiszewski |
E524383
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bootmen |
—
|
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: Bootmen | Statement: [Cezary Skubiszewski, notableWork, Bootmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bootmen Context triple: [Cezary Skubiszewski, notableWork, Bootmen]
-
A.
Bootmen
chosen
Bootmen is an Australian dance film that follows a group of steelworkers who form a tap-dancing troupe, showcasing energetic choreography and working-class grit.
-
B.
Delman Shoes
Delman Shoes is an American luxury footwear brand known for its high-end, fashion-forward women’s shoes and collaborations with prominent designers.
-
C.
Blundstone
Blundstone is an Australian footwear company best known for its durable, slip-on leather work and casual boots.
-
D.
Merrells
Merrells is a surname most notably associated with English actor Simon Merrells.
-
E.
Dr. Martens
Dr. Martens is a British footwear and clothing brand best known for its durable leather boots with air-cushioned soles, which have become iconic in various subcultures worldwide.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736577fd48190a0038a6ac5678668 |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:02 p.m.