Triple
T20762071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nerf |
E510998
|
entity |
| Predicate | hasProductLine |
P3585
|
FINISHED |
| Object | Nerf Laser Ops |
—
|
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 Laser Ops | Statement: [Nerf, hasProductLine, Nerf Laser Ops]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nerf Laser Ops Context triple: [Nerf, hasProductLine, Nerf Laser Ops]
-
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.
Lazer
"Lazer" is a track from the album *Natural History*, likely characterized by its distinctive indie rock sound and atmospheric production.
-
D.
Lazers
Lazers is the abbreviated name of the Los Angeles Lazers, a former professional indoor soccer team that competed in the Major Indoor Soccer League during the 1980s.
-
E.
Laser Beam
"Laser Beam" is a song by the Japanese electropop group Perfume, known for its catchy techno-pop sound and futuristic production.
- 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.