Triple
T13797406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Steel |
E331551
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Olga Fonda
Olga Fonda is a Russian-American model and actress known for her roles in films like "Real Steel" and the TV series "The Vampire Diaries."
|
E1061798
|
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: Olga Fonda | Statement: [Real Steel, castMember, Olga Fonda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olga Fonda Context triple: [Real Steel, castMember, Olga Fonda]
-
A.
Irina Caton-Jones
Irina Caton-Jones is known as the wife of Scottish film director Michael Caton-Jones.
-
B.
Nina Bergman
Nina Bergman is a Danish-born actress, singer, and model known for her roles in action and horror films as well as her work as a rock vocalist.
-
C.
Natalya Bondarchuk
Natalya Bondarchuk is a Soviet and Russian actress and director best known internationally for her leading role in Andrei Tarkovsky’s film "Solaris."
-
D.
Nastassja Kinski
Nastassja Kinski is a German actress and former model best known for her roles in films such as "Tess" and "Paris, Texas."
-
E.
Esther Minciotti
Esther Minciotti was an Italian-American character actress best known for her role as the protagonist’s mother in the acclaimed 1955 film "Marty."
- 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: Olga Fonda Triple: [Real Steel, castMember, Olga Fonda]
Generated description
Olga Fonda is a Russian-American model and actress known for her roles in films like "Real Steel" and the TV series "The Vampire Diaries."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olga Fonda Target entity description: Olga Fonda is a Russian-American model and actress known for her roles in films like "Real Steel" and the TV series "The Vampire Diaries."
-
A.
Irina Caton-Jones
Irina Caton-Jones is known as the wife of Scottish film director Michael Caton-Jones.
-
B.
Nina Bergman
Nina Bergman is a Danish-born actress, singer, and model known for her roles in action and horror films as well as her work as a rock vocalist.
-
C.
Natalya Bondarchuk
Natalya Bondarchuk is a Soviet and Russian actress and director best known internationally for her leading role in Andrei Tarkovsky’s film "Solaris."
-
D.
Nastassja Kinski
Nastassja Kinski is a German actress and former model best known for her roles in films such as "Tess" and "Paris, Texas."
-
E.
Esther Minciotti
Esther Minciotti was an Italian-American character actress best known for her role as the protagonist’s mother in the acclaimed 1955 film "Marty."
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b086d6d48190b823ed0a4403fbc5 |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b138158c8190957d43d529c37fa4 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b1e0ab948190a046a68aa5e029a6 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:11 p.m.