Triple
T19050201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electronic Entertainment Expo |
E466236
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Gamescom |
—
|
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: Gamescom | Statement: [Electronic Entertainment Expo, influenced, Gamescom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gamescom Context triple: [Electronic Entertainment Expo, influenced, Gamescom]
-
A.
Gamescom 2015
Gamescom 2015 was a major international video game trade fair held in Cologne, Germany, where numerous high-profile titles and expansions were revealed and showcased.
-
B.
PAX West
PAX West is a major annual gaming convention in Seattle that showcases video games, tabletop games, industry panels, and fan events.
-
C.
Paris Games Week
chosen
Paris Games Week is a major annual video game trade fair in Paris that showcases upcoming games, hardware, and industry innovations to the public and professionals.
-
D.
TGS
TGS is the central administrative and academic unit overseeing graduate education and research programs at Northwestern University.
-
E.
TGS
TGS is the fictional sketch comedy show within the television series "30 Rock," serving as the workplace backdrop for the main characters.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc018d8c819080525ad104a85fe2 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 10, 2026, 12:03 p.m.