Triple
T23551686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Gigaton" |
E578067
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Josh Evans |
—
|
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: Josh Evans | Statement: ["Gigaton", producer, Josh Evans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Evans Context triple: ["Gigaton", producer, Josh Evans]
-
A.
Josh Evans
Josh Evans is known primarily as the son of influential American film producer Robert Evans.
-
B.
Josh Evans
chosen
Josh Evans is a music producer known for his work on Pearl Jam’s album "Gigaton."
-
C.
Ryan Evans
Ryan Evans is a flamboyant, theater-loving student and twin brother of Sharpay who serves as a key musical performer and comic presence in Disney’s High School Musical franchise.
-
D.
Jason Boesel
Jason Boesel is an American drummer and songwriter best known for his work with the band Rilo Kiley and collaborations with various indie rock artists.
-
E.
Evan Daugherty
Evan Daugherty is an American screenwriter best known for his work on major Hollywood films such as "Snow White and the Huntsman," "Divergent," and "Teenage Mutant Ninja Turtles."
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aecf28508190b8d3396591e5e6bb |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:11 p.m.