Triple
T15158646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gita Chandra |
E362148
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Mina Anwar |
E716556
|
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: Mina Anwar | Statement: [Gita Chandra, portrayedBy, Mina Anwar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mina Anwar Context triple: [Gita Chandra, portrayedBy, Mina Anwar]
-
A.
Mina Anwar
chosen
Mina Anwar is a British actress and singer best known for her comedic and character roles in television, film, and theatre.
-
B.
Aniz Ansari
Aniz Ansari is the brother of comedian and actor Aziz Ansari and a member of his extended family circle occasionally referenced in media.
-
C.
Tirana Hassan
Tirana Hassan is a human rights lawyer and advocate who serves as the executive director of Human Rights Watch, leading global efforts to investigate and expose human rights abuses.
-
D.
Riza Aziz
Riza Aziz is a Malaysian film producer and co-founder of Red Granite Pictures, known for financing high-profile Hollywood films and being embroiled in the 1MDB corruption scandal.
-
E.
Asmahan Arslan
Asmahan Arslan is a prominent Lebanese Druze political figure and member of the influential Arslan family.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060dd71881908ecc4a4f52d438a5 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febffaa4b88190aab36fdae057e6d2 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:08 a.m.