Triple
T22234975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmaloglou |
E549567
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object | Sebastian Elmaloglou |
—
|
NE NERFINISHED |
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: Sebastian Elmaloglou | Statement: [Elmaloglou, notableBearer, Sebastian Elmaloglou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sebastian Elmaloglou Context triple: [Elmaloglou, notableBearer, Sebastian Elmaloglou]
-
A.
Sebastian Elmaloglou
chosen
Sebastian Elmaloglou is an Australian actor known for his work in television and for being part of the Elmaloglou family of performers.
-
B.
Peter Elmaloglou
Peter Elmaloglou is an Australian actor known for his work in television and film, and as a member of the Elmaloglou acting family.
-
C.
Ari Fliakos
Ari Fliakos is an American stage and screen actor known for his long-standing work with the experimental theater company The Wooster Group.
-
D.
Nico Mastorakis
Nico Mastorakis is a Greek filmmaker and producer known for his work in low-budget genre films and cult cinema.
-
E.
Michael Trikilis
Michael Trikilis was an American television and film producer best known for his work on Playboy-related projects and various feature films in the late 20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf6d74c8190a1d8d8fc24a06bd1 |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:38 p.m.