Triple
T18812824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agent K |
E460057
|
entity |
| Predicate | weapon |
P6948
|
FINISHED |
| Object | Noisy Cricket |
—
|
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: Noisy Cricket | Statement: [Agent K, weapon, Noisy Cricket]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noisy Cricket Context triple: [Agent K, weapon, Noisy Cricket]
-
A.
Noisy Cricket
chosen
Noisy Cricket is a tiny but extremely powerful alien energy weapon featured in the Men in Black film series.
-
B.
The Very Quiet Cricket
The Very Quiet Cricket is a beloved children's picture book by Eric Carle that follows a young cricket who cannot chirp until he finally finds his voice.
-
C.
The "Chirping" Crickets
The "Chirping" Crickets is the debut studio album by Buddy Holly and the Crickets, widely regarded as a pioneering rock and roll record of the late 1950s.
-
D.
Grillo
Grillo is an Italian surname most notably associated with American actor Frank Grillo, known for his roles in action and thriller films.
-
E.
Frog Hopper
Frog Hopper is a small, family-friendly amusement ride featuring gentle vertical hops designed primarily for young children.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3dcc7d88190801d9c9202e0e411 |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.