Triple
T17746754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buffy the Vampire Slayer Theme |
E443008
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Nerf Herder |
—
|
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 Herder | Statement: [Buffy the Vampire Slayer Theme, performer, Nerf Herder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nerf Herder Context triple: [Buffy the Vampire Slayer Theme, performer, Nerf Herder]
-
A.
Nerf Herder
chosen
Nerf Herder is an American pop-punk band best known for their geek-culture-inspired lyrics and catchy, humorous songs.
-
B.
Nerf
Nerf is a popular toy brand best known for its foam-based blasters, balls, and other safe, soft projectiles used for play.
-
C.
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.
-
D.
Readdy
Readdy is the surname of William F. Readdy, a former NASA astronaut and U.S. Navy test pilot.
-
E.
Barracuda Blaster
Barracuda Blaster is a themed water slide attraction located within the Splash Works water park area.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad26940819090696c2cb86fd606 |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:09 a.m.