Triple

T18965022
Position Surface form Disambiguated ID Type / Status
Subject Yitzhak Modai E464011 entity
Predicate familyName P18 FINISHED
Object Modai
Modai is a Hebrew surname most notably associated with Israeli politician Yitzhak Modai, who served in several ministerial roles in the late 20th century.
 E1352276 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: Modai | Statement: [Yitzhak Modai, familyName, Modai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Modai
Context triple: [Yitzhak Modai, familyName, Modai]
  • A. Moaadi
    Moaadi is the surname of Iranian-American actor, screenwriter, and director Payman Maadi, known for his acclaimed performances in contemporary Iranian cinema.
  • B. Yatomi
    Yatomi is a city in central Japan known for its location in Aichi Prefecture and its role as a local residential and agricultural community.
  • C. Dayan
    Dayan is a Hebrew surname most famously associated with Israeli military leader and politician Moshe Dayan.
  • D. Savyon
    Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
  • E. Ozar
    Ozar is a town in the Nashik district of Maharashtra, India, known for its proximity to Nashik city and its role as a regional industrial and aviation hub.
  • 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: Modai
Triple: [Yitzhak Modai, familyName, Modai]
Generated description
Modai is a Hebrew surname most notably associated with Israeli politician Yitzhak Modai, who served in several ministerial roles in the late 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Modai
Target entity description: Modai is a Hebrew surname most notably associated with Israeli politician Yitzhak Modai, who served in several ministerial roles in the late 20th century.
  • A. Moaadi
    Moaadi is the surname of Iranian-American actor, screenwriter, and director Payman Maadi, known for his acclaimed performances in contemporary Iranian cinema.
  • B. Yatomi
    Yatomi is a city in central Japan known for its location in Aichi Prefecture and its role as a local residential and agricultural community.
  • C. Dayan
    Dayan is a Hebrew surname most famously associated with Israeli military leader and politician Moshe Dayan.
  • D. Savyon
    Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
  • E. Ozar
    Ozar is a town in the Nashik district of Maharashtra, India, known for its proximity to Nashik city and its role as a regional industrial and aviation hub.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d5365881909dcbb4988d273b24 completed April 20, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05ad351160819090f58e19670cc69c completed May 14, 2026, 11:08 a.m.
NEDg Description generation batch_6a05aedf05c4819096ac6a61ada4b310 completed May 14, 2026, 11:15 a.m.
NED2 Entity disambiguation (via description) batch_6a05afe523208190a97142cd8e3b887b completed May 14, 2026, 11:20 a.m.
Created at: April 10, 2026, noon