Triple
T16504877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yung Joc |
E400899
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Gorilla Zoe |
E369256
|
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: Gorilla Zoe | Statement: [Yung Joc, collaboratedWith, Gorilla Zoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gorilla Zoe Context triple: [Yung Joc, collaboratedWith, Gorilla Zoe]
-
A.
Gorilla Zoe
chosen
Gorilla Zoe is an American rapper from Atlanta known for his work with Boyz N Da Hood and solo hits like "Hood Figga."
-
B.
The Gorilla
The Gorilla is a 1927 stage play (later adapted into films) that blends mystery and comedy in a story about a killer known as "The Gorilla" terrorizing a wealthy household.
-
C.
Gorilla at Large
Gorilla at Large is a 1954 American mystery–horror film set in a carnival, notable for its 3D cinematography and cast including Cameron Mitchell and Anne Bancroft.
-
D.
Al the Ice Gorilla
Al the Ice Gorilla is the costumed ice gorilla mascot who entertains fans at Syracuse Crunch hockey games.
-
E.
Crystal the Monkey
Crystal the Monkey is a capuchin monkey actress best known for her roles in films and TV shows such as "The Hangover Part II," "Night at the Museum," and "Community."
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e51ce1c81909548298f703a7ffa |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0058305e308190a22cbd03daec53aa |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:14 a.m.