Triple
T20267501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirk Hammett |
E499005
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Load |
—
|
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: Load | Statement: [Kirk Hammett, notableWork, Load]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Load Context triple: [Kirk Hammett, notableWork, Load]
-
A.
Load
chosen
Load is a 1996 studio album by American heavy metal band Metallica that marked a stylistic shift toward a more hard rock and alternative-influenced sound.
-
B.
LoadNinja
LoadNinja is a cloud-based load testing tool that enables developers and QA teams to create, execute, and analyze performance tests for web applications without scripting.
-
C.
Loaded
"Loaded" is a track from Lil Uzi Vert's studio album *Luv Is Rage 2*, showcasing his melodic trap style and introspective lyrics.
-
D.
Loaded
Loaded is a short story set in Stephen King’s Hard Case Crime universe, expanding on the gritty, noir-inspired themes introduced in his novel Full Throttle.
-
E.
Loaded
Loaded is a film featuring actor Drew Fuller in its cast.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674d001f081908910eedd262ae13a |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:42 p.m.