Triple
T12895396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quake 4 |
E308478
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object |
Matthew Kane
Matthew Kane is the main playable Marine character in the sci-fi first-person shooter video game Quake 4, leading the fight against the alien Strogg.
|
E1008466
|
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: Matthew Kane | Statement: [Quake 4, protagonist, Matthew Kane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Kane Context triple: [Quake 4, protagonist, Matthew Kane]
-
A.
Louis Kane
Louis Kane is an American entrepreneur best known as a co-founder of the bakery-café chain Panera Bread.
-
B.
Marcus Kane
Marcus Kane is a central political leader and moral compass in the post-apocalyptic TV series "The 100," known for his evolution from strict authoritarian to compassionate advocate for peace.
-
C.
Adam Ryen
Adam Ryen is a voice actor best known for providing the voice of Cody in Disney's animated film "The Rescuers Down Under."
-
D.
Mason Kane
Mason Kane is a central operative and complex antihero in the spy thriller television series "Citadel."
-
E.
Benjamin Keen
Benjamin Keen was a prominent American historian and Latin Americanist known for his influential scholarship on the history and culture of Latin America.
- 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: Matthew Kane Triple: [Quake 4, protagonist, Matthew Kane]
Generated description
Matthew Kane is the main playable Marine character in the sci-fi first-person shooter video game Quake 4, leading the fight against the alien Strogg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Kane Target entity description: Matthew Kane is the main playable Marine character in the sci-fi first-person shooter video game Quake 4, leading the fight against the alien Strogg.
-
A.
Louis Kane
Louis Kane is an American entrepreneur best known as a co-founder of the bakery-café chain Panera Bread.
-
B.
Marcus Kane
Marcus Kane is a central political leader and moral compass in the post-apocalyptic TV series "The 100," known for his evolution from strict authoritarian to compassionate advocate for peace.
-
C.
Adam Ryen
Adam Ryen is a voice actor best known for providing the voice of Cody in Disney's animated film "The Rescuers Down Under."
-
D.
Mason Kane
Mason Kane is a central operative and complex antihero in the spy thriller television series "Citadel."
-
E.
Benjamin Keen
Benjamin Keen was a prominent American historian and Latin Americanist known for his influential scholarship on the history and culture of Latin America.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9717d859481908957510babac2d69 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55daf788190be72af98b288bd70 |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a641d1988190b9af41c8c7ca599e |
completed | May 3, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a7792f948190bb0b324bee0cd8ac |
completed | May 3, 2026, 1:40 a.m. |
Created at: April 9, 2026, 5:40 p.m.