Triple
T22229671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shailendra |
E549432
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Boot Polish |
—
|
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: Boot Polish | Statement: [Shailendra, workedOn, Boot Polish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boot Polish Context triple: [Shailendra, workedOn, Boot Polish]
-
A.
Boot Polish
chosen
Boot Polish is a 1954 Hindi-language Indian film directed by Prakash Arora and produced by Raj Kapoor, known for its social themes and portrayal of orphaned children struggling against poverty.
-
B.
Kiwi (shoe care)
Kiwi (shoe care) is a globally recognized brand of shoe polish and related footwear care products known for preserving and shining leather shoes.
-
C.
Ferodo
Ferodo is a well-known automotive brand specializing in brake pads and friction products, owned by Federal-Mogul.
-
D.
Brillo
Brillo is a lightweight, Android-based operating system developed by Google for powering and managing Internet of Things (IoT) devices.
-
E.
Brush
Brush is a surname most notably associated with Charles F. Brush, an American inventor and pioneer in electric lighting.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf173308190a3d21bfc59b39728 |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:37 p.m.