Triple
T20190452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phazon |
E492966
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Phaaze |
—
|
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: Phaaze | Statement: [Phazon, associatedWith, Phaaze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phaaze Context triple: [Phazon, associatedWith, Phaaze]
-
A.
Phaaze
chosen
Phaaze is a highly unstable, Phazon-rich planet that serves as the corrupted source world and final battleground in Metroid Prime 3: Corruption.
-
B.
Out of Phaze
Out of Phaze is a fantasy/science fiction novel by Piers Anthony, part of his Apprentice Adept series that blends parallel worlds of magic and technology.
-
C.
Fazy
Fazy is a Swiss surname most notably borne by James Fazy, a 19th-century politician from Geneva.
-
D.
M-Phazes
M-Phazes is an Australian hip-hop producer known for his soulful, sample-based beats and collaborations with prominent artists across the underground and mainstream rap scenes.
-
E.
White Phase
White Phase is the second stage of U.S. Army Basic Combat Training, focusing on developing core soldiering skills such as weapons handling, marksmanship, and tactical field training.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad4d7a88190b70dfb74a2daafba |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.