Triple

T16271279
Position Surface form Disambiguated ID Type / Status
Subject Yitzhak Navon E395004 entity
Predicate familyName P18 FINISHED
Object Navon
Navon is a Hebrew surname most notably associated with Yitzhak Navon, the fifth President of Israel and a prominent statesman and writer.
 E1204242 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: Navon | Statement: [Yitzhak Navon, familyName, Navon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Navon
Context triple: [Yitzhak Navon, familyName, Navon]
  • A. Kahana
    Kahana is a variant form of the Jewish surname Cohen, often used in Ashkenazi communities.
  • B. Arisdorf
    Arisdorf is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its rural character and proximity to the city of Basel.
  • C. Nazareth Village
    Nazareth Village is a living history museum in Nazareth that reconstructs and reenacts daily life in a first-century Galilean village from the time of Jesus.
  • D. Evron
    Evron is a given name most notably borne by American political scientist and intelligence official Evron Maurice Kirkpatrick.
  • E. Holon
    Holon is a city in central Israel, part of the Tel Aviv metropolitan area, known for its cultural institutions, museums, and diverse communities.
  • 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: Navon
Triple: [Yitzhak Navon, familyName, Navon]
Generated description
Navon is a Hebrew surname most notably associated with Yitzhak Navon, the fifth President of Israel and a prominent statesman and writer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Navon
Target entity description: Navon is a Hebrew surname most notably associated with Yitzhak Navon, the fifth President of Israel and a prominent statesman and writer.
  • A. Kahana
    Kahana is a variant form of the Jewish surname Cohen, often used in Ashkenazi communities.
  • B. Arisdorf
    Arisdorf is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its rural character and proximity to the city of Basel.
  • C. Nazareth Village
    Nazareth Village is a living history museum in Nazareth that reconstructs and reenacts daily life in a first-century Galilean village from the time of Jesus.
  • D. Evron
    Evron is a given name most notably borne by American political scientist and intelligence official Evron Maurice Kirkpatrick.
  • E. Holon
    Holon is a city in central Israel, part of the Tel Aviv metropolitan area, known for its cultural institutions, museums, and diverse communities.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e246099dd081908e268a1a0cf8a373 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017bf09888190b3d90db3517a2f1e completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a00193f71548190b40feeea73b0c252 completed May 10, 2026, 5:35 a.m.
NED2 Entity disambiguation (via description) batch_6a001a0def548190a1d800f858f3cb02 completed May 10, 2026, 5:39 a.m.
Created at: April 10, 2026, 5:05 a.m.