Triple
T12029588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gene Pitney |
E286365
|
entity |
| Predicate | wroteSong |
P2831
|
FINISHED |
| Object | Rubber Ball |
E457314
|
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: Rubber Ball | Statement: [Gene Pitney, wroteSong, Rubber Ball]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rubber Ball Context triple: [Gene Pitney, wroteSong, Rubber Ball]
-
A.
Ball
Ball is a common English surname borne by numerous individuals, including the famed American comedian and actress Lucille Ball.
-
B.
Ball
Ball is a well-known consumer brand, particularly recognized for its glass canning jars and home food preservation products.
-
C.
Smiley Ball
Smiley Ball is the official mascot of the Worcester Red Sox minor league baseball team, known for its bright, cheerful baseball-headed character that entertains fans at games and events.
-
D.
Palla
Palla is a Portuguese surname most notably associated with journalist and feminist activist Maria Antónia Palla.
-
E.
“Rubber Ball”
chosen
“Rubber Ball” is a 1960 pop song most famously recorded by Bobby Vee that became one of his early international hits.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903f24490819092ec911d6ed8e24b |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b8d37ec81908d4a1668e932ca5b |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 8, 2026, 9:47 p.m.