Triple
T3611623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amaya Namani |
E76500
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Amara Namani |
E12724
|
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: Amara Namani | Statement: [Amaya Namani, alsoKnownAs, Amara Namani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amara Namani Context triple: [Amaya Namani, alsoKnownAs, Amara Namani]
-
A.
Amara Namani
chosen
Amara Namani is a young, resourceful Jaeger pilot and central protagonist in the science fiction film "Pacific Rim: Uprising."
-
B.
Amaya Namani
Amaya Namani is an individual known for a close professional or personal association with Jules Reyes.
-
C.
Dorla Gondi
Dorla Gondi is a regional dialect of the Gondi language spoken by the Dorla subgroup of the Gondi people in central India.
-
D.
Maanami Mamani
Maanami Mamani is a writer best known for contributing to the work "Through the Wire."
-
E.
Aruna
Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc22e5b30819084184b730732c727 |
completed | March 8, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4882a556881909e6c20cce617e4b6 |
completed | March 13, 2026, 9:56 p.m. |
Created at: March 8, 2026, 3:23 p.m.