Triple
T20762060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nerf |
E510998
|
entity |
| Predicate | hasProductLine |
P3585
|
FINISHED |
| Object | Nerf N-Strike |
—
|
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 N-Strike | Statement: [Nerf, hasProductLine, Nerf N-Strike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nerf N-Strike Context triple: [Nerf, hasProductLine, Nerf N-Strike]
-
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.
Starfire Sports
Starfire Sports is a sports and recreation organization best known for operating the Starfire Sports Stadium complex in Tukwila, Washington, which hosts soccer and community athletic events.
-
D.
Snex
Snex is the main supporters group of Indonesian football club PSIS Semarang, known for its passionate fanbase and vibrant match-day atmosphere.
-
E.
Squirtgun
Squirtgun is an American punk rock band known for its melodic sound and connections to the 1990s pop-punk scene.
- 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.