Triple
T4423774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revolver (2005 film) |
E95161
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Avi |
E131013
|
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 | Statement: [Revolver (2005 film), character, Avi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avi Context triple: [Revolver (2005 film), character, Avi]
-
A.
Avi
chosen
Avi is a common Hebrew given name, often used as a diminutive of names like Avraham or Aviel.
-
B.
Avi Lewis
Avi Lewis is a Canadian documentary filmmaker, television journalist, and political activist known for his work on social justice and environmental issues.
-
C.
Arvi
Arvi is a town in Maharashtra, India, known for its agricultural markets and role as a local commercial center within Wardha district.
-
D.
Rafi
Rafi was an Israeli political party founded by David Ben-Gurion in the 1960s after a split from Mapai, known for its activist and security-focused policies.
-
E.
Arvin
Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554b36a48190a475ac5474bed132 |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f62f7eb88190a02669845126e790 |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:30 p.m.