Triple
T13871237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serge Ibaka |
E333453
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object |
Ricoh Manresa
Ricoh Manresa is a professional basketball club based in Manresa, Spain, that competes in the Spanish basketball league system.
|
E1065423
|
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: Ricoh Manresa | Statement: [Serge Ibaka, playedFor, Ricoh Manresa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ricoh Manresa Context triple: [Serge Ibaka, playedFor, Ricoh Manresa]
-
A.
Ricoh
Ricoh is a Japanese multinational imaging and electronics company best known for its cameras, printers, copiers, and office equipment solutions.
-
B.
Konica Minolta
Konica Minolta is a Japanese multinational technology company best known for its imaging products, including printers, copiers, and optical devices.
-
C.
Konica Minolta Planetarium Tenku
Konica Minolta Planetarium Tenku is a modern digital planetarium in Tokyo known for its immersive star and space projection shows.
-
D.
Cerie Xerox
Cerie Xerox is a recurring character on the sitcom "30 Rock," known as Liz Lemon’s attractive, laid-back assistant in the TGS writers’ room.
-
E.
Sanyo-Onoda
Sanyo-Onoda is a coastal industrial city in western Japan known for its cement and chemical industries and its location along the Seto Inland Sea.
- 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: Ricoh Manresa Triple: [Serge Ibaka, playedFor, Ricoh Manresa]
Generated description
Ricoh Manresa is a professional basketball club based in Manresa, Spain, that competes in the Spanish basketball league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ricoh Manresa Target entity description: Ricoh Manresa is a professional basketball club based in Manresa, Spain, that competes in the Spanish basketball league system.
-
A.
Ricoh
Ricoh is a Japanese multinational imaging and electronics company best known for its cameras, printers, copiers, and office equipment solutions.
-
B.
Konica Minolta
Konica Minolta is a Japanese multinational technology company best known for its imaging products, including printers, copiers, and optical devices.
-
C.
Konica Minolta Planetarium Tenku
Konica Minolta Planetarium Tenku is a modern digital planetarium in Tokyo known for its immersive star and space projection shows.
-
D.
Cerie Xerox
Cerie Xerox is a recurring character on the sitcom "30 Rock," known as Liz Lemon’s attractive, laid-back assistant in the TGS writers’ room.
-
E.
Sanyo-Onoda
Sanyo-Onoda is a coastal industrial city in western Japan known for its cement and chemical industries and its location along the Seto Inland Sea.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c638248190bbe5d19f7b88d0f9 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c107c20c81909dff0ca4a59fcc55 |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c20da9448190b3167b091bd39b94 |
completed | May 3, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c2cc63148190b9ca2828abe54286 |
completed | May 3, 2026, 9:49 p.m. |
Created at: April 9, 2026, 10:14 p.m.