Triple
T18794513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riot Games |
E459597
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Marc Merrill |
—
|
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: Marc Merrill | Statement: [Riot Games, foundedBy, Marc Merrill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Merrill Context triple: [Riot Games, foundedBy, Marc Merrill]
-
A.
Marc Merrill
chosen
Marc Merrill is an American entrepreneur best known as the co-founder of Riot Games, the video game developer behind League of Legends.
-
B.
Michael Merrill
Michael Merrill is the son of legendary American actress Bette Davis, known for his later role in managing her estate and legacy.
-
C.
Mark Merrill
Mark Merrill is a fictional character from the 1990s television drama series "Models Inc.," which focused on the lives and careers of high-fashion models.
-
D.
Christopher Morrow
Christopher Morrow is a relatively obscure individual whose specific public achievements or profession are not widely documented.
-
E.
Frank Lapidus
Frank Lapidus is a skilled but troubled helicopter pilot in the television series "Lost," known for his role in transporting the freighter team to the mysterious island.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a01cc0c0819098ef4326e82ff524 |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.