Triple
T18973565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Taradash |
E464233
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Golden Boy |
—
|
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: Golden Boy | Statement: [Daniel Taradash, notableWork, Golden Boy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golden Boy Context triple: [Daniel Taradash, notableWork, Golden Boy]
-
A.
Golden Boy
chosen
"Golden Boy" is a landmark American stage drama by Clifford Odets that explores ambition, identity, and the cost of success through the story of a young violinist turned prizefighter.
-
B.
Golden Boy
Golden Boy is a gilded bronze statue symbolizing youth, progress, and prosperity that stands atop the Manitoba Legislative Building in Winnipeg, Canada.
-
C.
The Golden Boy
The Golden Boy is the nickname of Larry Scott, a pioneering American bodybuilder and the first-ever Mr. Olympia champion.
-
D.
The Golden Boy
"The Golden Boy" is a song by the British rock band Queen, featured on their 1988 album "Barcelona" with Freddie Mercury and Montserrat Caballé.
-
E.
This Boy
"This Boy" is a 1963 Beatles ballad featuring close three-part harmonies, best known as the B-side to "I Want to Hold Your Hand."
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d61d7728819096f0baea75658a6a |
completed | April 20, 2026, 7:30 a.m. |
Created at: April 10, 2026, noon