Triple
T18378229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaft in Africa |
E446371
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Neda Arnerić
Neda Arnerić was a prominent Serbian actress known for her extensive film and television career across Yugoslav and international cinema.
|
E1321280
|
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: Neda Arnerić | Statement: [Shaft in Africa, starring, Neda Arnerić]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neda Arnerić Context triple: [Shaft in Africa, starring, Neda Arnerić]
-
A.
Nataša Kandić
Nataša Kandić is a Serbian human rights activist known for documenting war crimes and advocating for justice and reconciliation in the former Yugoslavia.
-
B.
Nena Danevic
Nena Danevic is a film editor best known for her Academy Award–winning work on the 1984 historical drama "Amadeus."
-
C.
Zana Marjanović
Zana Marjanović is a Bosnian actress best known internationally for her leading role in Angelina Jolie’s war drama film "In the Land of Blood and Honey."
-
D.
Blanka Vlašić
Blanka Vlašić is a Croatian high jumper renowned for her multiple world titles and status as one of the greatest female high jumpers in athletics history.
-
E.
Izabela Vidovic
Izabela Vidovic is a Bosnian-American actress known for her roles in films like "Homefront" and "Wonder" as well as various television series.
- 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: Neda Arnerić Triple: [Shaft in Africa, starring, Neda Arnerić]
Generated description
Neda Arnerić was a prominent Serbian actress known for her extensive film and television career across Yugoslav and international cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neda Arnerić Target entity description: Neda Arnerić was a prominent Serbian actress known for her extensive film and television career across Yugoslav and international cinema.
-
A.
Nataša Kandić
Nataša Kandić is a Serbian human rights activist known for documenting war crimes and advocating for justice and reconciliation in the former Yugoslavia.
-
B.
Nena Danevic
Nena Danevic is a film editor best known for her Academy Award–winning work on the 1984 historical drama "Amadeus."
-
C.
Zana Marjanović
Zana Marjanović is a Bosnian actress best known internationally for her leading role in Angelina Jolie’s war drama film "In the Land of Blood and Honey."
-
D.
Blanka Vlašić
Blanka Vlašić is a Croatian high jumper renowned for her multiple world titles and status as one of the greatest female high jumpers in athletics history.
-
E.
Izabela Vidovic
Izabela Vidovic is a Bosnian-American actress known for her roles in films like "Homefront" and "Wonder" as well as various television series.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179919c881908d55ea24f93c5827 |
completed | April 19, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d77ea9f481909d252120346498ab |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d83fe9a08190b18b9f61ee606372 |
completed | May 13, 2026, 1:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d915215c819090023094f1fc47f1 |
completed | May 13, 2026, 1:51 a.m. |
Created at: April 10, 2026, 10:45 a.m.