Triple
T111410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Rim: Uprising |
E2254
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Amara Namani
Amara Namani is a young, resourceful Jaeger pilot and central protagonist in the science fiction film "Pacific Rim: Uprising."
|
E12724
|
NE FINISHED |
How this triple was built (4 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: [Pacific Rim: Uprising, hasCharacter, Amara Namani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amara Namani Context triple: [Pacific Rim: Uprising, hasCharacter, Amara Namani]
-
A.
Nggela Pile
Nggela Pile is one of the principal islands in the Florida Islands group of the Solomon Islands in the South Pacific.
-
B.
Rita
Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
-
C.
Ramin
Ramin is a masculine given name of Persian origin, commonly used in Iran and among Persian-speaking communities.
-
D.
Madhavi Malalgoda Ariyabandu
Madhavi Malalgoda Ariyabandu is a Sri Lankan peace and human rights advocate recognized internationally for her contributions to social justice and conflict resolution.
-
E.
Nina Agdal
Nina Agdal is a Danish fashion model best known for her work with Sports Illustrated Swimsuit Issue and major international advertising campaigns.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Amara Namani Triple: [Pacific Rim: Uprising, hasCharacter, Amara Namani]
Generated description
Amara Namani is a young, resourceful Jaeger pilot and central protagonist in the science fiction film "Pacific Rim: Uprising."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amara Namani Target entity description: Amara Namani is a young, resourceful Jaeger pilot and central protagonist in the science fiction film "Pacific Rim: Uprising."
-
A.
Nggela Pile
Nggela Pile is one of the principal islands in the Florida Islands group of the Solomon Islands in the South Pacific.
-
B.
Rita
Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
-
C.
Ramin
Ramin is a masculine given name of Persian origin, commonly used in Iran and among Persian-speaking communities.
-
D.
Madhavi Malalgoda Ariyabandu
Madhavi Malalgoda Ariyabandu is a Sri Lankan peace and human rights advocate recognized internationally for her contributions to social justice and conflict resolution.
-
E.
Nina Agdal
Nina Agdal is a Danish fashion model best known for her work with Sports Illustrated Swimsuit Issue and major international advertising campaigns.
- F. None of above. chosen
Provenance (5 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a256ec650c8190bee2067e37065527 |
completed | Feb. 28, 2026, 2:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2917c62d8819080f6f8330efb76ed |
completed | Feb. 28, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69a2929077a08190a22d3b003fa026a8 |
completed | Feb. 28, 2026, 7 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2948c9fb4819089c8ae184adc44d9 |
completed | Feb. 28, 2026, 7:09 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.