Triple
T12917002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viktor Navorski |
E309010
|
entity |
| Predicate | formsRelationshipWith |
P61561
|
FINISHED |
| Object |
Amelia Warren
Amelia Warren is a flight attendant and the romantic interest of Viktor Navorski in the film "The Terminal."
|
E1011350
|
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: Amelia Warren | Statement: [Viktor Navorski, formsRelationshipWith, Amelia Warren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amelia Warren Context triple: [Viktor Navorski, formsRelationshipWith, Amelia Warren]
-
A.
Amelia Warner
Amelia Warner is a British actress and composer known for her film roles and for composing scores such as the soundtrack for the film "Mary Shelley."
-
B.
Amelia Mullen
Amelia Mullen is the daughter of U2 drummer Larry Mullen Jr., a member of the iconic Irish rock band.
-
C.
Amelia Frampton
Amelia Frampton is the daughter of English rock musician and guitarist Peter Frampton.
-
D.
Amelia Heinle
Amelia Heinle is an American actress best known for her long-running role as Victoria Newman on the soap opera "The Young and the Restless."
-
E.
Amelia Byford
Amelia Byford was the mother of renowned British First World War flying ace James McCudden.
- 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: Amelia Warren Triple: [Viktor Navorski, formsRelationshipWith, Amelia Warren]
Generated description
Amelia Warren is a flight attendant and the romantic interest of Viktor Navorski in the film "The Terminal."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amelia Warren Target entity description: Amelia Warren is a flight attendant and the romantic interest of Viktor Navorski in the film "The Terminal."
-
A.
Amelia Warner
Amelia Warner is a British actress and composer known for her film roles and for composing scores such as the soundtrack for the film "Mary Shelley."
-
B.
Amelia Mullen
Amelia Mullen is the daughter of U2 drummer Larry Mullen Jr., a member of the iconic Irish rock band.
-
C.
Amelia Frampton
Amelia Frampton is the daughter of English rock musician and guitarist Peter Frampton.
-
D.
Amelia Heinle
Amelia Heinle is an American actress best known for her long-running role as Victoria Newman on the soap opera "The Young and the Restless."
-
E.
Amelia Byford
Amelia Byford was the mother of renowned British First World War flying ace James McCudden.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a1e8088190af697629baecf59f |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af5df0408190a8fe83cdd91e38c9 |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b115720481908796955032043530 |
completed | May 3, 2026, 2:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1ea3d288190875888be8356da48 |
completed | May 3, 2026, 2:24 a.m. |
Created at: April 9, 2026, 5:41 p.m.