Triple
T22283963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Root |
E550809
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Root |
—
|
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: Root | Statement: [Joe Root, familyName, Root]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Root Context triple: [Joe Root, familyName, Root]
-
A.
Root
chosen
Root is a surname most notably associated with Elihu Root, an American statesman, lawyer, and Nobel Peace Prize laureate.
-
B.
Root
Root is a highly intelligent and enigmatic hacker-turned-operative in the TV series "Person of Interest," known for her deep connection to the artificial intelligence known as the Machine.
-
C.
Root
Root is a municipality in the canton of Lucerne in central Switzerland, known for its location along the Reuss River and its mix of residential areas and light industry.
-
D.
The Root
The Root is an African American–focused online magazine that covers news, politics, culture, and commentary from a Black perspective.
-
E.
The Root
The Root is a segment from the 2000 film "Voodoo," likely serving as a key narrative or thematic component within the movie.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15605a8448190906a0ab9ffa4260b |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 16, 2026, 8:40 p.m.