Triple
T18252807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake Green |
E437140
|
entity |
| Predicate | hasAssociate |
P2830
|
FINISHED |
| Object | Avi |
—
|
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: Avi | Statement: [Jake Green, hasAssociate, Avi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avi Context triple: [Jake Green, hasAssociate, Avi]
-
A.
Avi
Avi is a common Hebrew given name, often used as a diminutive of names like Avraham or Aviel.
-
B.
Avi Nash
Avi Nash is an American actor known for his roles in television series such as "The Walking Dead" and the sci-fi drama "Silo."
-
C.
Avi Lewis
Avi Lewis is a Canadian documentary filmmaker, television journalist, and political activist known for his work on social justice and environmental issues.
-
D.
Avin
Avin is a village in the municipality of Hannut in the province of Liège, Belgium.
-
E.
Arvi
Arvi is a town in Maharashtra, India, known for its agricultural markets and role as a local commercial center within Wardha district.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd81ea3481909d96b5399f7a32b3 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:33 a.m.