Triple
T2197044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilbert Arenas |
E50398
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Hibachi
Hibachi is the nickname of former NBA All-Star guard Gilbert Arenas, known for his explosive scoring and long-range shooting.
|
E243552
|
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: Hibachi | Statement: [Gilbert Arenas, nickname, Hibachi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hibachi Context triple: [Gilbert Arenas, nickname, Hibachi]
-
A.
Teppan Edo
Teppan Edo is a teppanyaki-style Japanese restaurant located in the Japan Pavilion at EPCOT in Walt Disney World Resort.
-
B.
Tokyo Chiken
Tokyo Chiken is the commonly used abbreviated name for the Tokyo District Public Prosecutors Office, a key prosecutorial authority in Japan’s capital.
-
C.
Katsura Grill
Katsura Grill is a casual quick-service Japanese restaurant located in the Japan Pavilion at EPCOT in Walt Disney World.
-
D.
Oshiage
Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
-
E.
Morimoto Asia
Morimoto Asia is an upscale Pan-Asian restaurant by Iron Chef Masaharu Morimoto, known for its inventive cuisine and stylish, contemporary setting.
- 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: Hibachi Triple: [Gilbert Arenas, nickname, Hibachi]
Generated description
Hibachi is the nickname of former NBA All-Star guard Gilbert Arenas, known for his explosive scoring and long-range shooting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hibachi Target entity description: Hibachi is the nickname of former NBA All-Star guard Gilbert Arenas, known for his explosive scoring and long-range shooting.
-
A.
Teppan Edo
Teppan Edo is a teppanyaki-style Japanese restaurant located in the Japan Pavilion at EPCOT in Walt Disney World Resort.
-
B.
Tokyo Chiken
Tokyo Chiken is the commonly used abbreviated name for the Tokyo District Public Prosecutors Office, a key prosecutorial authority in Japan’s capital.
-
C.
Katsura Grill
Katsura Grill is a casual quick-service Japanese restaurant located in the Japan Pavilion at EPCOT in Walt Disney World.
-
D.
Oshiage
Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
-
E.
Kabuki Cafe
Kabuki Cafe is a quick-service food stand in the Japan Pavilion at EPCOT, known for serving sushi, kakigōri (shaved ice), and other Japanese snacks and beverages.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbf79f3e08190b56e9d7c0ff27237 |
completed | March 7, 2026, 6:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5db7af9881908348ce1ad35f247a |
completed | March 9, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69ae61901ae481908b03844aa300cc33 |
completed | March 9, 2026, 5:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae620812848190814c4c614e8834d1 |
completed | March 9, 2026, 6 a.m. |
Created at: March 4, 2026, 7:46 p.m.