Triple
T37355256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iron Chef |
E927435
|
entity |
| Predicate | notableIronChef |
P99478
|
FINISHED |
| Object |
Iron Chef Italian Masahiko Kobe
Iron Chef Italian Masahiko Kobe was a renowned Japanese chef celebrated for his mastery of Italian cuisine and his appearances on the television show "Iron Chef."
|
E2231524
|
NE FINISHED |
How this triple was built (2 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: Iron Chef Italian Masahiko Kobe | Statement: [Iron Chef, notableIronChef, Iron Chef Italian Masahiko Kobe]
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: Iron Chef Italian Masahiko Kobe Triple: [Iron Chef, notableIronChef, Iron Chef Italian Masahiko Kobe]
Generated description
Iron Chef Italian Masahiko Kobe was a renowned Japanese chef celebrated for his mastery of Italian cuisine and his appearances on the television show "Iron Chef."
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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb5bc3d37c8190bb7d0f9e68f9d8d7 |
completed | May 6, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40951e12848190b7ab9e5c9ffe9da7 |
completed | June 28, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_6a4096a06cd881908c727b9134edb207 |
completed | June 28, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a409a56d8cc81909572b61b90dba241 |
completed | June 28, 2026, 3:51 a.m. |
Created at: May 3, 2026, 4:16 p.m.