Triple
T9509004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Lewis |
E229341
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Avi Lewis |
E44018
|
NE FINISHED |
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 Lewis | Statement: [Stephen Lewis, child, Avi Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avi Lewis Context triple: [Stephen Lewis, child, Avi Lewis]
-
A.
Avi Lewis
chosen
Avi Lewis is a Canadian documentary filmmaker, television journalist, and political activist known for his work on social justice and environmental issues.
-
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.
Gavin Lewis
Gavin Lewis is an American actor known for his roles in television series such as "Little Fires Everywhere" and other film and TV projects.
-
D.
Nick Wechsler
Nick Wechsler is an American actor best known for his television roles, including playing Jack Porter on the drama series "Revenge."
-
E.
Nick Wechsler
Nick Wechsler is an American film producer known for backing acclaimed independent and studio features, including the drama "North Country."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9857058881909e0a40e2024a7b4c |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a2b34948190826b1f58258a4f54 |
completed | April 4, 2026, 4:19 p.m. |
Created at: March 30, 2026, 7:58 p.m.