Triple
T23419311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuli Edelmann |
E560602
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Kotikatu
Kotikatu is a long-running Finnish television drama series that follows the everyday lives of residents in a Helsinki neighborhood.
|
E1586106
|
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: Kotikatu | Statement: [Samuli Edelmann, notableWork, Kotikatu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kotikatu Context triple: [Samuli Edelmann, notableWork, Kotikatu]
-
A.
Kotoden
Kotoden is a private Japanese railway company operating electric train services in Kagawa Prefecture, particularly around Takamatsu and Kotohira.
-
B.
Katikkiro
Katikkiro is the traditional title for the prime minister and chief administrative officer of the Kingdom of Buganda in Uganda.
-
C.
Karukku
Karukku is a pioneering autobiographical work by Bama that powerfully portrays the lived experiences, struggles, and resistance of Dalit Christians in Tamil Nadu.
-
D.
Bakoteh
Bakoteh is a residential neighborhood within the urban area of Serekunda in The Gambia.
-
E.
Katenka
Katenka is a Russian diminutive form of the female given name Yekaterina (Catherine).
- 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: Kotikatu Triple: [Samuli Edelmann, notableWork, Kotikatu]
Generated description
Kotikatu is a long-running Finnish television drama series that follows the everyday lives of residents in a Helsinki neighborhood.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kotikatu Target entity description: Kotikatu is a long-running Finnish television drama series that follows the everyday lives of residents in a Helsinki neighborhood.
-
A.
Kotoden
Kotoden is a private Japanese railway company operating electric train services in Kagawa Prefecture, particularly around Takamatsu and Kotohira.
-
B.
Katikkiro
Katikkiro is the traditional title for the prime minister and chief administrative officer of the Kingdom of Buganda in Uganda.
-
C.
Karukku
Karukku is a pioneering autobiographical work by Bama that powerfully portrays the lived experiences, struggles, and resistance of Dalit Christians in Tamil Nadu.
-
D.
Bakoteh
Bakoteh is a residential neighborhood within the urban area of Serekunda in The Gambia.
-
E.
Katenka
Katenka is a Russian diminutive form of the female given name Yekaterina (Catherine).
- 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54489d48190b2b2c29701851765 |
completed | April 29, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c67a145e88190a59c10b20d3395f9 |
completed | May 19, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a0c72156130819082e1d07262e144ca |
completed | May 19, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c76e904b08190a5329a3ed56291dc |
completed | May 19, 2026, 2:42 p.m. |
Created at: April 17, 2026, 5:44 p.m.