Triple
T18622851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bogusław Linda |
E455198
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Trzeci
Trzeci is a Polish film featuring acclaimed actor Bogusław Linda in a prominent role.
|
E1334895
|
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: Trzeci | Statement: [Bogusław Linda, notableWork, Trzeci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trzeci Context triple: [Bogusław Linda, notableWork, Trzeci]
-
A.
Este III
Este III is an archaeological phase of the Este culture in northern Italy, marked by its characteristic Iron Age material culture and settlement patterns.
-
B.
Terceira
Terceira is a volcanic island in Portugal’s Azores archipelago, known for its historic city of Angra do Heroísmo, rich maritime history, and distinctive Atlantic landscapes.
-
C.
Tretes
Tretes is a cool highland resort town in East Java, Indonesia, known for its mountain scenery, villas, and as a gateway to nearby peaks like Mount Arjuno.
-
D.
Trzyciąż
Trzyciąż is a village in southern Poland that serves as the administrative center of the surrounding Gmina Trzyciąż in Lesser Poland Voivodeship.
-
E.
Tiga
Tiga is a Canadian DJ and electronic music producer known for his influential work in techno and electro house.
- 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: Trzeci Triple: [Bogusław Linda, notableWork, Trzeci]
Generated description
Trzeci is a Polish film featuring acclaimed actor Bogusław Linda in a prominent role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trzeci Target entity description: Trzeci is a Polish film featuring acclaimed actor Bogusław Linda in a prominent role.
-
A.
Este III
Este III is an archaeological phase of the Este culture in northern Italy, marked by its characteristic Iron Age material culture and settlement patterns.
-
B.
Terceira
Terceira is a volcanic island in Portugal’s Azores archipelago, known for its historic city of Angra do Heroísmo, rich maritime history, and distinctive Atlantic landscapes.
-
C.
Tretes
Tretes is a cool highland resort town in East Java, Indonesia, known for its mountain scenery, villas, and as a gateway to nearby peaks like Mount Arjuno.
-
D.
Trzyciąż
Trzyciąż is a village in southern Poland that serves as the administrative center of the surrounding Gmina Trzyciąż in Lesser Poland Voivodeship.
-
E.
Tiga
Tiga is a Canadian DJ and electronic music producer known for his influential work in techno and electro house.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f020fa08190bd78d72182496b19 |
completed | April 19, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d765bb081908aab41aa6bb97fe4 |
completed | May 13, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_6a050f6306ac8190aa4d72627345cf55 |
completed | May 13, 2026, 11:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a050ff68a7c8190bf82d00370f4b1d4 |
completed | May 13, 2026, 11:57 p.m. |
Created at: April 10, 2026, 11:46 a.m.