Triple
T22876147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fortress |
E567331
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object |
Timothy Sweeney
Timothy Sweeney is an American game programmer and entrepreneur best known as the founder and CEO of Epic Games and the creator of the Unreal Engine.
|
E1569195
|
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: Timothy Sweeney | Statement: [Fortress, designer, Timothy Sweeney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timothy Sweeney Context triple: [Fortress, designer, Timothy Sweeney]
-
A.
Brian Sweeney
Brian Sweeney is a relatively common personal name shared by multiple individuals, including professionals in fields such as sports, business, and the arts.
-
B.
Max Sweeney
Max Sweeney is a central character on the television series "The L Word," known for being one of the first prominent transgender male characters depicted on mainstream TV.
-
C.
Peter Sweeney
Peter Sweeney is a personal name shared by multiple individuals, including various professionals and public figures.
-
D.
Timothy Alverson
Timothy Alverson is a film editor known for his work on major Hollywood productions, including the 2001 remake of "Planet of the Apes."
-
E.
Timothy Matthews
Timothy Matthews is a personal name shared by multiple individuals, including professionals in fields such as sports, media, and public service.
- 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: Timothy Sweeney Triple: [Fortress, designer, Timothy Sweeney]
Generated description
Timothy Sweeney is an American game programmer and entrepreneur best known as the founder and CEO of Epic Games and the creator of the Unreal Engine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Timothy Sweeney Target entity description: Timothy Sweeney is an American game programmer and entrepreneur best known as the founder and CEO of Epic Games and the creator of the Unreal Engine.
-
A.
Brian Sweeney
Brian Sweeney is a relatively common personal name shared by multiple individuals, including professionals in fields such as sports, business, and the arts.
-
B.
Max Sweeney
Max Sweeney is a central character on the television series "The L Word," known for being one of the first prominent transgender male characters depicted on mainstream TV.
-
C.
Peter Sweeney
Peter Sweeney is a personal name shared by multiple individuals, including various professionals and public figures.
-
D.
Timothy Alverson
Timothy Alverson is a film editor known for his work on major Hollywood productions, including the 2001 remake of "Planet of the Apes."
-
E.
Timothy Matthews
Timothy Matthews is a personal name shared by multiple individuals, including professionals in fields such as sports, media, and public service.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f58a7308190b710bdf013e2e114 |
completed | April 29, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c159658f48190ad025bf4441f6f7c |
completed | May 19, 2026, 7:47 a.m. |
| NEDg | Description generation | batch_6a0c16f636c88190968d66908d877694 |
completed | May 19, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c177d90fc8190bef32aa68d66bb01 |
completed | May 19, 2026, 7:55 a.m. |
Created at: April 17, 2026, 3:39 p.m.