Triple
T4723142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petr Nečas |
E104816
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Nečas
Nečas is a Czech surname most notably borne by Petr Nečas, a former Prime Minister of the Czech Republic.
|
E464981
|
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: Nečas | Statement: [Petr Nečas, familyName, Nečas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nečas Context triple: [Petr Nečas, familyName, Nečas]
-
A.
Nagode
"Nagode" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its catchy melody and blend of contemporary and African musical elements.
-
B.
Veckatimest
Veckatimest is a critically acclaimed 2009 indie rock album by American band Grizzly Bear, known for its intricate arrangements and lush harmonies.
-
C.
Nzaman
Nzaman is a dialect of the Fang language spoken by Fang communities in Central Africa.
-
D.
Tále
Tále is a popular ski resort and recreational area in the Low Tatras mountains of central Slovakia, known for its slopes, golf course, and year-round outdoor activities.
-
E.
Boží Dar
Boží Dar is a small Czech mountain town in the Ore Mountains, known as one of the highest-elevated towns in Central Europe and a popular winter sports and tourist destination.
- 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: Nečas Triple: [Petr Nečas, familyName, Nečas]
Generated description
Nečas is a Czech surname most notably borne by Petr Nečas, a former Prime Minister of the Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nečas Target entity description: Nečas is a Czech surname most notably borne by Petr Nečas, a former Prime Minister of the Czech Republic.
-
A.
Nagode
"Nagode" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its catchy melody and blend of contemporary and African musical elements.
-
B.
Veckatimest
Veckatimest is a critically acclaimed 2009 indie rock album by American band Grizzly Bear, known for its intricate arrangements and lush harmonies.
-
C.
Nzaman
Nzaman is a dialect of the Fang language spoken by Fang communities in Central Africa.
-
D.
Tále
Tále is a popular ski resort and recreational area in the Low Tatras mountains of central Slovakia, known for its slopes, golf course, and year-round outdoor activities.
-
E.
Boží Dar
Boží Dar is a small Czech mountain town in the Ore Mountains, known as one of the highest-elevated towns in Central Europe and a popular winter sports and tourist destination.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6444412c81908a7f6f17978df2d2 |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be1094fd9c81909e12723394f9ae0a |
completed | March 21, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69be12b1c9088190bb6b307bfc46b75c |
completed | March 21, 2026, 3:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be1318d494819084fac7c6d16db4e5 |
completed | March 21, 2026, 3:40 a.m. |
Created at: March 20, 2026, 1:18 p.m.