Triple
T20181014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddie Cantor |
E492727
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | “Kid Boots” |
—
|
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: “Kid Boots” | Statement: [Eddie Cantor, notableWork, “Kid Boots”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Kid Boots” Context triple: [Eddie Cantor, notableWork, “Kid Boots”]
-
A.
Big Boots
"Big Boots" is a song performed by Elvis Presley, best known from its appearance in the 1960 musical film and soundtrack album *G.I. Blues*.
-
B.
Kid Boots
chosen
Kid Boots is a 1923 Broadway musical comedy produced by famed impresario Florenz Ziegfeld Jr., known for its lighthearted plot and star-making performances.
-
C.
Gypsy Boots
Gypsy Boots is a song by the American rock band Aerosmith from their 1985 album "Done with Mirrors."
-
D.
Led Boots
"Led Boots" is a high-energy jazz fusion track by guitarist Jeff Beck, known for its complex rhythms and innovative use of guitar effects.
-
E.
The Shoe
The Shoe is the massive, horseshoe-shaped football stadium at The Ohio State University in Columbus, Ohio, renowned as the home of the Buckeyes.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668eed2e88190b54b15e6545dbdf8 |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.