Triple
T6586192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Gibbs |
E159230
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Big Youth |
E604010
|
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: Big Youth | Statement: [Joe Gibbs, collaboratedWith, Big Youth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Youth Context triple: [Joe Gibbs, collaboratedWith, Big Youth]
-
A.
Big Youth
chosen
Big Youth is a pioneering Jamaican deejay and reggae artist known for his socially conscious lyrics and influential 1970s recordings.
-
B.
Sugar Youth
"Sugar Youth" is a high-energy punk rock song by Green Day from their 2020 album *Father of All Motherfuckers*.
-
C.
Young G’s
"Young G’s" is a track featured on Puff Daddy & the Family’s influential 1997 hip-hop album *No Way Out*.
-
D.
Homeboy
"Homeboy" is a country song by American singer-songwriter Eric Church, known for its gritty storytelling about a troubled young man's path toward redemption.
-
E.
Animal Boy
"Animal Boy" is a 1986 punk rock album by the Ramones that blends their classic high-energy sound with more politically charged and socially conscious themes.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6aeae89308190a26cf090a9b6cf2b |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e42b72c481909f582f4f5b07e3d9 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:54 p.m.