Triple
T34665108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Georges Steakhouse |
E890230
|
entity |
| Predicate | hasChef |
P50761
|
FINISHED |
| Object |
Jean-Georges Vongerichten
Jean-Georges Vongerichten is a renowned French-born chef and restaurateur celebrated for his innovative, globally influenced fine dining cuisine and Michelin-starred restaurants.
|
E2106711
|
NE FINISHED |
How this triple was built (3 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: Jean-Georges Vongerichten | Statement: [Jean Georges Steakhouse, hasChef, Jean-Georges Vongerichten]
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: Jean-Georges Vongerichten Triple: [Jean Georges Steakhouse, hasChef, Jean-Georges Vongerichten]
Generated description
Jean-Georges Vongerichten is a renowned French-born chef and restaurateur celebrated for his innovative, globally influenced fine dining cuisine and Michelin-starred restaurants.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChef Context triple: [Jean Georges Steakhouse, hasChef, Jean-Georges Vongerichten]
-
A.
isCookedBy
Indicates that something has been prepared or made ready for eating through cooking by a particular agent.
-
B.
chef
chosen
Indicates that one entity serves as the cook or culinary professional responsible for preparing food for another entity or context.
-
C.
visibilityOfChef
Indicates how easily or prominently a chef can be seen or observed in a given context or setting.
-
D.
designerChef
Indicates that one entity serves as the chef responsible for designing or creating dishes, menus, or culinary concepts for another entity.
-
E.
haveCuisine
Indicates that an entity (such as a restaurant or place) offers, serves, or is associated with a particular type or style of cuisine.
- F. None of above.
Provenance (6 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe9fb9735c8190a360b556c9d00b3f |
completed | May 9, 2026, 2:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a374903aa648190b9beaf59b4562d53 |
completed | June 21, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_6a374a91d4f08190bc2df424a4136b3d |
completed | June 21, 2026, 2:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a374b44cba88190999dede2bc2a408e |
completed | June 21, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69fe9eaa88008190a9b2a469dc685002 |
completed | May 9, 2026, 2:40 a.m. |
Created at: May 1, 2026, 2:04 a.m.