Triple
T10293622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electronic Arts |
E241426
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
EA Originals
EA Originals is a publishing label of Electronic Arts focused on supporting and releasing innovative indie and smaller-scale games from independent developers.
|
E855886
|
NE FINISHED |
How this triple was built (4 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: EA Originals | Statement: [Electronic Arts, brand, EA Originals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EA Originals Context triple: [Electronic Arts, brand, EA Originals]
-
A.
EA
EA was the IATA airline designator for Eastern Air Lines, a major U.S. carrier that operated primarily in the mid-20th century.
-
B.
EA
EA is the regional body responsible for delivering and overseeing education services across Northern Ireland.
-
C.
EA
EA is the commonly used abbreviation for the Environment Agency, the public body responsible for environmental protection and regulation in England.
-
D.
Alva Games
Alva Games is an annual gaming event held in Alva that features video game competitions, community activities, and entertainment for gaming enthusiasts.
-
E.
Ware
Ware was the plaintiff in the landmark U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: EA Originals Triple: [Electronic Arts, brand, EA Originals]
Generated description
EA Originals is a publishing label of Electronic Arts focused on supporting and releasing innovative indie and smaller-scale games from independent developers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EA Originals Target entity description: EA Originals is a publishing label of Electronic Arts focused on supporting and releasing innovative indie and smaller-scale games from independent developers.
-
A.
EA
EA was the IATA airline designator for Eastern Air Lines, a major U.S. carrier that operated primarily in the mid-20th century.
-
B.
EA
EA is the commonly used abbreviation for the Environment Agency, the public body responsible for environmental protection and regulation in England.
-
C.
EA
EA is the regional body responsible for delivering and overseeing education services across Northern Ireland.
-
D.
Alva Games
Alva Games is an annual gaming event held in Alva that features video game competitions, community activities, and entertainment for gaming enthusiasts.
-
E.
Ware
Ware was the plaintiff in the landmark U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
- F. None of above. chosen
Provenance (5 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d46fb08190b7694290692e47dc |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d1c180481909ca9983e14cbb931 |
completed | April 9, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69d73182d7548190ac15093aa7001db7 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7336c06308190ac72154134a26842 |
completed | April 9, 2026, 5:04 a.m. |
Created at: April 6, 2026, 11:42 a.m.