Triple
T5834739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebekah Elmaloglou |
E129439
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rebekah Elmaloglou |
E129439
|
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: Rebekah Elmaloglou | Statement: [Rebekah Elmaloglou, name, Rebekah Elmaloglou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rebekah Elmaloglou Context triple: [Rebekah Elmaloglou, name, Rebekah Elmaloglou]
-
A.
Rebekah Elmaloglou
chosen
Rebekah Elmaloglou is an Australian actress best known for her long-running role as Terese Willis on the soap opera "Neighbours."
-
B.
Lila Yacoub
Lila Yacoub is a film producer known for her work on independent features such as Noah Baumbach’s comedy-drama "Mistress America."
-
C.
Isabel Bayrakdarian
Isabel Bayrakdarian is an Armenian-Canadian operatic soprano acclaimed for her performances on international stages and her diverse repertoire spanning opera, concert, and recording projects.
-
D.
Katherine Sarafian
Katherine Sarafian is an American film producer best known for her work at Pixar Animation Studios, including producing the Academy Award–winning feature "Brave."
-
E.
Angela Sarafyan
Angela Sarafyan is an Armenian-American actress known for her roles in film and television, including notable performances in projects like HBO's "Westworld."
- 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_69c0084af79c81908af128ccc29983d0 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034a1e6a88190b1aac05511793315 |
completed | March 22, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a196ebb88190aea57899be954aae |
completed | March 23, 2026, 2:12 a.m. |
Created at: March 22, 2026, 3:54 p.m.