Triple

T33419812
Position Surface form Disambiguated ID Type / Status
Subject Lago by Julian Serrano E855815 entity
Predicate designerChef P197570 FINISHED
Object Julian Serrano
Julian Serrano is a renowned Spanish-American chef celebrated for his innovative, artful approach to modern Spanish and Mediterranean cuisine.
 E2107872 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: Julian Serrano | Statement: [Lago by Julian Serrano, designerChef, Julian Serrano]
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: Julian Serrano
Triple: [Lago by Julian Serrano, designerChef, Julian Serrano]
Generated description
Julian Serrano is a renowned Spanish-American chef celebrated for his innovative, artful approach to modern Spanish and Mediterranean cuisine.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: designerChef
Context triple: [Lago by Julian Serrano, designerChef, Julian Serrano]
  • A. chef
    Indicates that one entity serves as the cook or culinary professional responsible for preparing food for another entity or context.
  • B. chefTitle
    Indicates that one entity holds a specific professional or honorific title in the role of a chef relative to another entity.
  • C. chef-lieu
    Indicates that one place serves as the administrative capital or main seat of government for a specified territorial division.
  • D. visibilityOfChef
    Indicates how easily or prominently a chef can be seen or observed in a given context or setting.
  • E. restaurantDesignedBy
    Indicates that a restaurant was created or planned by a particular designer or architect.
  • F. None of above. chosen

Provenance (7 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_69f3496fdf0081908c1aa30870ce518b completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fe9b0276d48190b554fa22b043e6d8 completed May 9, 2026, 2:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3752cba0948190b67d4415356bb783 completed June 21, 2026, 2:56 a.m.
NEDg Description generation batch_6a3753394308819095e3f8c080869717 completed June 21, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_6a3753c33f708190adafff500ed06ca8 completed June 21, 2026, 3 a.m.
PD Predicate disambiguation batch_69fe999692b081909921e1148d66f0ef completed May 9, 2026, 2:19 a.m.
PDg Predicate description generation batch_69fe9b013ec481908f89beddb9c4cd4e completed May 9, 2026, 2:25 a.m.
Created at: May 1, 2026, 1:36 a.m.