Triple
T20152950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Game Grumps |
E491480
|
entity |
| Predicate | hasInstagramHandle |
P3718
|
FINISHED |
| Object | @gamegrumps |
—
|
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: @gamegrumps | Statement: [Game Grumps, hasInstagramHandle, @gamegrumps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: @gamegrumps Context triple: [Game Grumps, hasInstagramHandle, @gamegrumps]
-
A.
Game Grumps
chosen
Game Grumps is a popular YouTube Let's Play and comedy channel known for its humorous video game playthroughs and banter between rotating hosts.
-
B.
GAM
GAM is the stock ticker symbol for Gaumont, a historic French film production and distribution company.
-
C.
GAM
GAM is a major cultural and arts center in Santiago, Chile, named after the Nobel Prize–winning poet Gabriela Mistral.
-
D.
Gra
Gra, an acronym for the Vilna Gaon (Rabbi Elijah ben Solomon Zalman), was an 18th-century Lithuanian Jewish sage renowned for his profound Talmudic, halachic, and Kabbalistic scholarship.
-
E.
GGs
GGs is a rebellious street gang of inline skaters and graffiti artists in the Jet Set Radio video game series, known for tagging city walls and battling rival crews in a stylized, cel-shaded Tokyo-to.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667dda9b4819097ff66bb2b50fc21 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.