Triple

T3993191
Position Surface form Disambiguated ID Type / Status
Subject Ethan Coen E87039 entity
Predicate givenName P17 FINISHED
Object Ethan
Ethan is a masculine given name of Hebrew origin meaning "strong," "firm," or "enduring," widely used in English-speaking countries.
 E404204 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: Ethan | Statement: [Ethan Coen, givenName, Ethan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ethan
Context triple: [Ethan Coen, givenName, Ethan]
  • A. Evan
    Evan is a masculine given name of Welsh origin meaning "the Lord is gracious," commonly used in English-speaking countries.
  • B. Brody
    Brody is a surname of English and Irish origin borne by various notable individuals across fields such as entertainment, sports, and public life.
  • C. Nathan
    Nathan is the given first name of the American writer and poet Jean Toomer, known for his modernist work "Cane."
  • D. Nathan
    Nathan is a prophet in the Hebrew Bible known for advising King David and courageously confronting him over his sin with Bathsheba.
  • E. Nathan
    Nathan is the central character of Gotthold Ephraim Lessing’s play "Nathan the Wise," portrayed as a wise and compassionate Jewish merchant who advocates religious tolerance and humanism.
  • 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: Ethan
Triple: [Ethan Coen, givenName, Ethan]
Generated description
Ethan is a masculine given name of Hebrew origin meaning "strong," "firm," or "enduring," widely used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ethan
Target entity description: Ethan is a masculine given name of Hebrew origin meaning "strong," "firm," or "enduring," widely used in English-speaking countries.
  • A. Evan
    Evan is a masculine given name of Welsh origin meaning "the Lord is gracious," commonly used in English-speaking countries.
  • B. Brody
    Brody is a surname of English and Irish origin borne by various notable individuals across fields such as entertainment, sports, and public life.
  • C. Nathan
    Nathan is a prophet in the Hebrew Bible known for advising King David and courageously confronting him over his sin with Bathsheba.
  • D. Nathan
    Nathan is the given first name of the American writer and poet Jean Toomer, known for his modernist work "Cane."
  • E. Nathan
    Nathan is the central character of Gotthold Ephraim Lessing’s play "Nathan the Wise," portrayed as a wise and compassionate Jewish merchant who advocates religious tolerance and humanism.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa1d9d8c8190982d092a73d38564 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5403970e08190bb491048b1bd7b16 completed March 14, 2026, 11:02 a.m.
NEDg Description generation batch_69b54112e3788190800e295a745c4689 completed March 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69b541808d548190987ad1538c647664 completed March 14, 2026, 11:07 a.m.
Created at: March 9, 2026, 3:33 p.m.