Triple
T20441037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel Alvarez |
E501389
|
entity |
| Predicate | fictionalUniverse |
P3758
|
FINISHED |
| Object | Oz universe |
—
|
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: Oz universe | Statement: [Miguel Alvarez, fictionalUniverse, Oz universe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oz universe Context triple: [Miguel Alvarez, fictionalUniverse, Oz universe]
-
A.
Ozark universe
The Ozark universe is the gritty, crime-ridden fictional world of the television series "Ozark," centered on money laundering, drug cartels, and moral decay in the Missouri Ozarks.
-
B.
Oz
Oz is a common diminutive or nickname for the given name Oswald.
-
C.
Oz
chosen
Oz is the magical land at the center of L. Frank Baum’s classic “Wizard of Oz” stories, inhabited by diverse fantastical peoples and creatures.
-
D.
Oz
Oz is a tree-lined, expert-focused peak and trail pod at Maine’s Sunday River ski resort, known for its challenging terrain and glade skiing.
-
E.
Oz
Oz is a Swiss record producer and songwriter known for crafting hit tracks for major hip-hop and R&B artists, including extensive work with Drake.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f2e8888190a2e0d6b2bf6c905d |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.