Triple
T15848386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergiu Nicolaescu |
E384270
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Oglinda
Oglinda is a Romanian historical drama film directed by Sergiu Nicolaescu that portrays the final days of Marshal Ion Antonescu’s regime during World War II.
|
E1179248
|
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: Oglinda | Statement: [Sergiu Nicolaescu, notableWork, Oglinda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oglinda Context triple: [Sergiu Nicolaescu, notableWork, Oglinda]
-
A.
Ogna
Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
-
B.
Ovindoli
Ovindoli is a mountain village and ski resort in the Abruzzo region of central Italy, known for its outdoor recreation and scenic Apennine landscapes.
-
C.
Gimira
Gimira is an Omotic language spoken in southwestern Ethiopia, primarily by the Gimira (Bench) people.
-
D.
Gialova
Gialova is a small coastal village in Messenia, Greece, known for its scenic bay, wetlands, and proximity to historical and natural attractions such as Navarino Bay and Voidokilia Beach.
-
E.
Chersina
Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
- 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: Oglinda Triple: [Sergiu Nicolaescu, notableWork, Oglinda]
Generated description
Oglinda is a Romanian historical drama film directed by Sergiu Nicolaescu that portrays the final days of Marshal Ion Antonescu’s regime during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oglinda Target entity description: Oglinda is a Romanian historical drama film directed by Sergiu Nicolaescu that portrays the final days of Marshal Ion Antonescu’s regime during World War II.
-
A.
Ogna
Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
-
B.
Ovindoli
Ovindoli is a mountain village and ski resort in the Abruzzo region of central Italy, known for its outdoor recreation and scenic Apennine landscapes.
-
C.
Gimira
Gimira is an Omotic language spoken in southwestern Ethiopia, primarily by the Gimira (Bench) people.
-
D.
Gialova
Gialova is a small coastal village in Messenia, Greece, known for its scenic bay, wetlands, and proximity to historical and natural attractions such as Navarino Bay and Voidokilia Beach.
-
E.
Chersina
Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14ca96c588190922b1f7556dd08cf |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa145f2dc819092db805806b6e1d5 |
completed | May 9, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_69ffa41a86ec8190b46d541965ecf26e |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa496f3e48190b8dc82bece548aec |
completed | May 9, 2026, 9:18 p.m. |
Created at: April 10, 2026, 4:50 a.m.