Triple
T14642139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amityville II: The Possession |
E343749
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Rutanya Alda |
E918534
|
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: Rutanya Alda | Statement: [Amityville II: The Possession, stars, Rutanya Alda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rutanya Alda Context triple: [Amityville II: The Possession, stars, Rutanya Alda]
-
A.
Rutanya Alda
chosen
Rutanya Alda is a Latvian-American character actress known for her roles in films such as "The Deer Hunter," "Mommie Dearest," and numerous other horror and drama movies.
-
B.
Eve Alda
Eve Alda is one of the daughters of American actor and director Alan Alda.
-
C.
Rena Rowan
Rena Rowan was a Ukrainian-born American fashion designer and philanthropist best known as the co-founder of the women's clothing brand Jones New York.
-
D.
Daniela Ruah
Daniela Ruah is a Portuguese-American actress best known for playing Special Agent Kensi Blye on the television series "NCIS: Los Angeles."
-
E.
Angelica Ross
Angelica Ross is an American actress, producer, and transgender rights advocate best known for her groundbreaking roles in series like "Pose" and "American Horror Story."
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4e80aa48190884bab800f357106 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde170d4a0819087caeacf39f95954 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:26 a.m.