Triple
T6440647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother (After the Fall) |
E138211
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Snowbreed
Snowbreed are feral, zombie-like creatures that serve as the primary enemies in the VR co-op shooter game "After the Fall."
|
E594982
|
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: Snowbreed | Statement: [Mother (After the Fall), associatedWith, Snowbreed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowbreed Context triple: [Mother (After the Fall), associatedWith, Snowbreed]
-
A.
Snowlets
Snowlets are the four snowy owl mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
-
B.
Winterfresh
Winterfresh is a popular Wrigley chewing gum brand known for its cool, minty flavor and winter-themed branding.
-
C.
Snowman
Snowman is the post-apocalyptic survivor and narrator of Margaret Atwood’s dystopian novel "Oryx and Crake," through whose perspective the story’s ruined world and its origins are revealed.
-
D.
Snowfall
Snowfall is an American crime drama television series that explores the early days of the crack cocaine epidemic in 1980s Los Angeles.
-
E.
White as Snow
"White as Snow" is a reflective, spiritually themed song by the Irish rock band U2 from their album "No Line on the Horizon."
- 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: Snowbreed Triple: [Mother (After the Fall), associatedWith, Snowbreed]
Generated description
Snowbreed are feral, zombie-like creatures that serve as the primary enemies in the VR co-op shooter game "After the Fall."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Snowbreed Target entity description: Snowbreed are feral, zombie-like creatures that serve as the primary enemies in the VR co-op shooter game "After the Fall."
-
A.
Snowlets
Snowlets are the four snowy owl mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
-
B.
Winterfresh
Winterfresh is a popular Wrigley chewing gum brand known for its cool, minty flavor and winter-themed branding.
-
C.
Snowman
Snowman is the post-apocalyptic survivor and narrator of Margaret Atwood’s dystopian novel "Oryx and Crake," through whose perspective the story’s ruined world and its origins are revealed.
-
D.
Snowfall
Snowfall is an American crime drama television series that explores the early days of the crack cocaine epidemic in 1980s Los Angeles.
-
E.
White as Snow
"White as Snow" is a reflective, spiritually themed song by the Irish rock band U2 from their album "No Line on the Horizon."
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06968c6a88190a623da9bd3152a66 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bc1ccdc8190a171281a846173c0 |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64f8c3df08190986343f78e7a066a |
completed | March 27, 2026, 9:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6501b1b6481908cead1450402752b |
completed | March 27, 2026, 9:38 a.m. |
Created at: March 22, 2026, 4:46 p.m.