Triple
T20762073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nerf |
E510998
|
entity |
| Predicate | hasProductLine |
P3585
|
FINISHED |
| Object | Nerf Doomlands |
—
|
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: Nerf Doomlands | Statement: [Nerf, hasProductLine, Nerf Doomlands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nerf Doomlands Context triple: [Nerf, hasProductLine, Nerf Doomlands]
-
A.
Nerf
chosen
Nerf is a popular toy brand best known for its foam-based blasters, balls, and other safe, soft projectiles used for play.
-
B.
Nerf Herder
Nerf Herder is an American pop-punk band best known for their geek-culture-inspired lyrics and catchy, humorous songs.
-
C.
Barracuda Blaster
Barracuda Blaster is a themed water slide attraction located within the Splash Works water park area.
-
D.
GLOO Cannon
The GLOO Cannon is a versatile foam-shooting tool and weapon in the sci-fi immersive sim game Prey (2017), used to immobilize enemies, create climbable surfaces, and solve environmental puzzles.
-
E.
The Rock Blaster
The Rock Blaster is a novel by Swedish author Henning Mankell that explores the harsh lives and inner struggles of working-class laborers in early 20th-century Sweden.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2493a188190a336a35ea134e5f7 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:35 p.m.