Triple

T1270744
Position Surface form Disambiguated ID Type / Status
Subject Jean Zay E15702 entity
Predicate familyName P18 FINISHED
Object Zay
Zay is the surname of Jean Zay, a notable French politician and Minister of National Education and Fine Arts during the 1930s.
 E144606 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: Zay | Statement: [Jean Zay, familyName, Zay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zay
Context triple: [Jean Zay, familyName, Zay]
  • A. Zal
    Zal is a legendary white-haired hero and warrior from Persian mythology, best known as the father of the champion Rostam in Ferdowsi’s epic Shahnameh.
  • B. Zac
    Zac is a common shortened form of the given name Isaac.
  • C. Zenia
    Zenia is a central, enigmatic and manipulative figure in Margaret Atwood's novel "The Robber Bride," whose disruptive influence profoundly affects the lives of three other women.
  • D. Chaz
    Chaz is a common diminutive or nickname for the given name Charles, often used in English-speaking countries.
  • E. Zeke
    Zeke is a central male character in the romantic comedy film "Think Like a Man," known for navigating modern dating dynamics alongside a group of friends influenced by a relationship advice book.
  • 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: Zay
Triple: [Jean Zay, familyName, Zay]
Generated description
Zay is the surname of Jean Zay, a notable French politician and Minister of National Education and Fine Arts during the 1930s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zay
Target entity description: Zay is the surname of Jean Zay, a notable French politician and Minister of National Education and Fine Arts during the 1930s.
  • A. Zal
    Zal is a legendary white-haired hero and warrior from Persian mythology, best known as the father of the champion Rostam in Ferdowsi’s epic Shahnameh.
  • B. Zac
    Zac is a common shortened form of the given name Isaac.
  • C. Zenia
    Zenia is a central, enigmatic and manipulative figure in Margaret Atwood's novel "The Robber Bride," whose disruptive influence profoundly affects the lives of three other women.
  • D. Chaz
    Chaz is a common diminutive or nickname for the given name Charles, often used in English-speaking countries.
  • E. Zeke
    Zeke is a central male character in the romantic comedy film "Think Like a Man," known for navigating modern dating dynamics alongside a group of friends influenced by a relationship advice book.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c0691d70819088e57c78ff34af1e completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac998b819c8190ad5a4095d31b5cb1 completed March 7, 2026, 9:32 p.m.
NEDg Description generation batch_69ac9a13e9548190ae1fbfeba3326cd5 completed March 7, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69ac9a96d4f081908e608a3f247bbfb2 completed March 7, 2026, 9:37 p.m.
Created at: March 1, 2026, 7:50 p.m.