Triple
T12916984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viktor Navorski |
E309010
|
entity |
| Predicate | nationality |
P2
|
FINISHED |
| Object |
Krakozhian
Krakozhian is a fictional Eastern European country featured in the film "The Terminal."
|
E1008678
|
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: Krakozhian | Statement: [Viktor Navorski, nationality, Krakozhian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krakozhian Context triple: [Viktor Navorski, nationality, Krakozhian]
-
A.
Grudusk
Grudusk is a village in north-central Poland that serves as the administrative center of the surrounding rural district (gmina) of the same name.
-
B.
Tungrian
The Tungrians were an ancient Germanic people from the region of modern-day Belgium who served as auxiliaries in the Roman army and gave their name to the civitas Tungrorum.
-
C.
Wordian
The Wordian is a middle stage of the Permian Period, representing a specific interval of geologic time characterized by distinct fossil assemblages and global stratigraphic markers.
-
D.
Segestani
The Segestani were an ancient Illyrian tribe that inhabited the region around the city of Siscia in what is now central Croatia.
-
E.
Kujawiak
Kujawiak is a traditional Polish folk dance from the Kuyavia region, characterized by its slow, lyrical tempo and smooth, gliding movements.
- 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: Krakozhian Triple: [Viktor Navorski, nationality, Krakozhian]
Generated description
Krakozhian is a fictional Eastern European country featured in the film "The Terminal."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krakozhian Target entity description: Krakozhian is a fictional Eastern European country featured in the film "The Terminal."
-
A.
Grudusk
Grudusk is a village in north-central Poland that serves as the administrative center of the surrounding rural district (gmina) of the same name.
-
B.
Tungrian
The Tungrians were an ancient Germanic people from the region of modern-day Belgium who served as auxiliaries in the Roman army and gave their name to the civitas Tungrorum.
-
C.
Wordian
The Wordian is a middle stage of the Permian Period, representing a specific interval of geologic time characterized by distinct fossil assemblages and global stratigraphic markers.
-
D.
Segestani
The Segestani were an ancient Illyrian tribe that inhabited the region around the city of Siscia in what is now central Croatia.
-
E.
Kujawiak
Kujawiak is a traditional Polish folk dance from the Kuyavia region, characterized by its slow, lyrical tempo and smooth, gliding movements.
- 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_69f6a571a3e48190a32d362adc6eaee2 |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a66cd21081909283d70e0f5d06cb |
completed | May 3, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a7792f948190bb0b324bee0cd8ac |
completed | May 3, 2026, 1:40 a.m. |
Created at: April 9, 2026, 5:41 p.m.