Triple

T505006
Position Surface form Disambiguated ID Type / Status
Subject Emmanuel Lubezki E10484 entity
Predicate givenName P17 FINISHED
Object Emmanuel
Emmanuel is a masculine given name of Hebrew origin meaning "God is with us," used in various cultures and languages.
 E19584 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: Emmanuel | Statement: [Emmanuel Lubezki, givenName, Emmanuel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Emmanuel
Context triple: [Emmanuel Lubezki, givenName, Emmanuel]
  • A. Immanuel
    Immanuel is the given name of the influential German philosopher Immanuel Kant, a central figure in modern Western philosophy.
  • B. Emanuel
    Emanuel is a surname most prominently associated with Rahm Emanuel, the American politician and former mayor of Chicago.
  • C. Johannes
    Johannes is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
  • D. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • E. Jacobus
    Jacobus is the given name of Koos de la Rey, a prominent Boer general and political figure in South African history.
  • 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: Emmanuel
Triple: [Emmanuel Lubezki, givenName, Emmanuel]
Generated description
Emmanuel is a masculine given name of Hebrew origin meaning "God is with us," used in various cultures and languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Emmanuel
Target entity description: Emmanuel is a masculine given name of Hebrew origin meaning "God is with us," used in various cultures and languages.
  • A. Immanuel chosen
    Immanuel is the given name of the influential German philosopher Immanuel Kant, a central figure in modern Western philosophy.
  • B. Emanuel
    Emanuel is a surname most prominently associated with Rahm Emanuel, the American politician and former mayor of Chicago.
  • C. Johannes
    Johannes is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
  • D. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • E. Jacobus
    Jacobus is the given name of Koos de la Rey, a prominent Boer general and political figure in South African history.
  • F. None of above.

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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f149bd1c81908ff58ac504ace2bf completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4c02c26808190b3078fb04f34572c completed March 1, 2026, 10:39 p.m.
NEDg Description generation batch_69a4c0b0868881909e28d253c2971618 completed March 1, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69a4c131bd8881909501843d85145979 completed March 1, 2026, 10:44 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.