Triple
T15709274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexis Dziena |
E380792
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Kira Underlay in Invasion |
E747460
|
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: Kira Underlay in Invasion | Statement: [Alexis Dziena, notableRole, Kira Underlay in Invasion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kira Underlay in Invasion Context triple: [Alexis Dziena, notableRole, Kira Underlay in Invasion]
-
A.
Kira
Kira is a rapidly growing urban municipality in central Uganda that functions as a major residential and commercial hub near Kampala.
-
B.
Kira
chosen
Kira is a feminine given name used in various cultures, often associated with figures in literature, film, and popular media.
-
C.
Kara Knack
Kara Knack is best known as the former wife of American actor Pernell Roberts, who starred as Adam Cartwright on the classic TV series "Bonanza."
-
D.
Kaela
Kaela is the given name of American professional basketball player Kaela Davis.
-
E.
Luella Gear
Luella Gear was an American actress and comedian known for her work in early 20th-century stage and film productions.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f8d8b648190842c635f2ae7bfa4 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff757b7e0c81909b32aecc093c93e4 |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.