Triple
T16019852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saku Koivu |
E388571
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Saku
Saku is a Finnish given name most notably borne by former NHL and Montreal Canadiens captain Saku Koivu.
|
E1189063
|
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: Saku | Statement: [Saku Koivu, givenName, Saku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saku Context triple: [Saku Koivu, givenName, Saku]
-
A.
Sukeva
Sukeva is a village in northern Finland best known for housing the Sukevan vankila prison facility.
-
B.
Sakari
Sakari is a Finnish given name commonly used for males, derived from the biblical name Zachary.
-
C.
Sakaar
Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
-
D.
Sakae
Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
-
E.
Shoki
"Shoki" is a popular Nigerian street-hop song by Lil Kesh that helped propel him to mainstream fame and popularized a viral dance of the same name.
- 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: Saku Triple: [Saku Koivu, givenName, Saku]
Generated description
Saku is a Finnish given name most notably borne by former NHL and Montreal Canadiens captain Saku Koivu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saku Target entity description: Saku is a Finnish given name most notably borne by former NHL and Montreal Canadiens captain Saku Koivu.
-
A.
Sukeva
Sukeva is a village in northern Finland best known for housing the Sukevan vankila prison facility.
-
B.
Sakari
Sakari is a Finnish given name commonly used for males, derived from the biblical name Zachary.
-
C.
Sakaar
Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
-
D.
Sakae
Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
-
E.
Shoki
"Shoki" is a popular Nigerian street-hop song by Lil Kesh that helped propel him to mainstream fame and popularized a viral dance of the same name.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183222e4c81909a3ab51446b671bd |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf2c6128819091d8f3710578834e |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffcfea613c8190abfed4d9b32eeeee |
completed | May 10, 2026, 12:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd0b3d4b08190b1be30954d5d76c0 |
completed | May 10, 2026, 12:26 a.m. |
Created at: April 10, 2026, 4:55 a.m.