Triple
T5866169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omar Samhan |
E130398
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object |
Shiga Lakestars
Shiga Lakestars is a professional basketball team based in Shiga Prefecture, Japan, competing in the country’s top-tier B.League.
|
E550484
|
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: Shiga Lakestars | Statement: [Omar Samhan, playedFor, Shiga Lakestars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shiga Lakestars Context triple: [Omar Samhan, playedFor, Shiga Lakestars]
-
A.
Charlotte Stars
The Charlotte Stars were a professional American football team that competed in the World Football League.
-
B.
Saitama Broncos
Saitama Broncos is a professional Japanese basketball team based in Saitama Prefecture that has competed in the country’s top-tier leagues.
-
C.
Kashima Kikō
Kashima Kikō is a travel diary by the Japanese haiku master Matsuo Bashō, recounting his poetic journey to the Kashima Shrine and surrounding regions.
-
D.
Alvark Tokyo
Alvark Tokyo is a professional basketball team based in Tokyo, Japan, competing at the top level of the Japanese B.League.
-
E.
Oita HeatDevils
Oita HeatDevils was a professional Japanese basketball team based in Ōita that competed in the bj league.
- 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: Shiga Lakestars Triple: [Omar Samhan, playedFor, Shiga Lakestars]
Generated description
Shiga Lakestars is a professional basketball team based in Shiga Prefecture, Japan, competing in the country’s top-tier B.League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shiga Lakestars Target entity description: Shiga Lakestars is a professional basketball team based in Shiga Prefecture, Japan, competing in the country’s top-tier B.League.
-
A.
Charlotte Stars
The Charlotte Stars were a professional American football team that competed in the World Football League.
-
B.
Saitama Broncos
Saitama Broncos is a professional Japanese basketball team based in Saitama Prefecture that has competed in the country’s top-tier leagues.
-
C.
Kashima Kikō
Kashima Kikō is a travel diary by the Japanese haiku master Matsuo Bashō, recounting his poetic journey to the Kashima Shrine and surrounding regions.
-
D.
Alvark Tokyo
Alvark Tokyo is a professional basketball team based in Tokyo, Japan, competing at the top level of the Japanese B.League.
-
E.
Oita HeatDevils
Oita HeatDevils was a professional Japanese basketball team based in Ōita that competed in the bj league.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035c10648819098c638cdc2084c80 |
completed | March 22, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1cd307c8190bbb6f5749b30c538 |
completed | March 23, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69c0a258fa208190a06b457e7856c338 |
completed | March 23, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a310d2d08190a8dab95f9eef2815 |
completed | March 23, 2026, 2:18 a.m. |
Created at: March 22, 2026, 3:56 p.m.