Triple
T3911874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spaceways |
E87339
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Eva Bartok
Eva Bartok was a Hungarian-born British film actress known for her roles in 1950s and 1960s European and British cinema, including thrillers and adventure films.
|
E398432
|
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: Eva Bartok | Statement: [Spaceways, hasCastMember, Eva Bartok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eva Bartok Context triple: [Spaceways, hasCastMember, Eva Bartok]
-
A.
Márta Borbíró
Márta Borbíró was the wife of Hungarian physiologist and Nobel laureate Albert Szent-Györgyi.
-
B.
Ilona Komocsin
Ilona Komocsin was the wife and muse of Hungarian architect and sculptor Jenő Bory, for whom he built the romantic Bory Castle as a monument to their love.
-
C.
Márta Károlyi
Márta Károlyi is a Romanian-American gymnastics coach renowned for co-developing the dominant Romanian and later U.S. women's gymnastics programs alongside her husband, Béla Károlyi.
-
D.
Ilona Kovács
Ilona Kovács was the wife of renowned Hungarian-American film director Michael Curtiz.
-
E.
Ruzena Bajcsy
Ruzena Bajcsy is a pioneering computer scientist and engineer known for her influential work in robotics, computer vision, and artificial intelligence.
- 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: Eva Bartok Triple: [Spaceways, hasCastMember, Eva Bartok]
Generated description
Eva Bartok was a Hungarian-born British film actress known for her roles in 1950s and 1960s European and British cinema, including thrillers and adventure films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eva Bartok Target entity description: Eva Bartok was a Hungarian-born British film actress known for her roles in 1950s and 1960s European and British cinema, including thrillers and adventure films.
-
A.
Márta Borbíró
Márta Borbíró was the wife of Hungarian physiologist and Nobel laureate Albert Szent-Györgyi.
-
B.
Ilona Komocsin
Ilona Komocsin was the wife and muse of Hungarian architect and sculptor Jenő Bory, for whom he built the romantic Bory Castle as a monument to their love.
-
C.
Márta Károlyi
Márta Károlyi is a Romanian-American gymnastics coach renowned for co-developing the dominant Romanian and later U.S. women's gymnastics programs alongside her husband, Béla Károlyi.
-
D.
Ilona Kovács
Ilona Kovács was the wife of renowned Hungarian-American film director Michael Curtiz.
-
E.
Ruzena Bajcsy
Ruzena Bajcsy is a pioneering computer scientist and engineer known for her influential work in robotics, computer vision, and artificial intelligence.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed35e2d081908b5d87c7630e7ffc |
completed | March 9, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51cb454c48190bf47d080f6cc24f0 |
completed | March 14, 2026, 8:30 a.m. |
| NEDg | Description generation | batch_69b5206dfd848190ae7aaa9997150934 |
completed | March 14, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b520ce6af481909b7824c2ec221331 |
completed | March 14, 2026, 8:48 a.m. |
Created at: March 9, 2026, 3:22 p.m.