Triple

T2016371
Position Surface form Disambiguated ID Type / Status
Subject Leah E44003 entity
Predicate nameInHebrew P6449 FINISHED
Object לֵאָה
לֵאָה היא דמות מקראית מספר בראשית, אחת מארבע האימהות ונשותיו של יעקב, ואם שישה משבטי ישראל.
 E225864 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: לֵאָה | Statement: [Leah, nameInHebrew, לֵאָה]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: לֵאָה
Context triple: [Leah, nameInHebrew, לֵאָה]
  • A. Ledaal
    Ledaal is a historic manor house in Stavanger, Norway, that has served as a royal residence and cultural landmark.
  • B. Lipa Yahalom
    Lipa Yahalom is an Israeli landscape architect known for co-designing major commemorative and public spaces, including the Valley of the Communities at Yad Vashem.
  • C. Malchi-shua
    Malchi-shua was one of King Saul’s sons, a Hebrew prince mentioned in the Bible who died alongside his father in battle against the Philistines.
  • D. Lyov
    Lyov is a transliterated form of the Russian given name Lev, commonly associated with figures like the writer Leo (Lev) Tolstoy.
  • E. Naameh
    Naameh is a central character in the 2014 biblical epic film "Noah," portrayed as Noah’s devoted wife and partner in facing the coming flood.
  • 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: לֵאָה
Triple: [Leah, nameInHebrew, לֵאָה]
Generated description
לֵאָה היא דמות מקראית מספר בראשית, אחת מארבע האימהות ונשותיו של יעקב, ואם שישה משבטי ישראל.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: לֵאָה
Target entity description: לֵאָה היא דמות מקראית מספר בראשית, אחת מארבע האימהות ונשותיו של יעקב, ואם שישה משבטי ישראל.
  • A. Ledaal
    Ledaal is a historic manor house in Stavanger, Norway, that has served as a royal residence and cultural landmark.
  • B. Lipa Yahalom
    Lipa Yahalom is an Israeli landscape architect known for co-designing major commemorative and public spaces, including the Valley of the Communities at Yad Vashem.
  • C. Malchi-shua
    Malchi-shua was one of King Saul’s sons, a Hebrew prince mentioned in the Bible who died alongside his father in battle against the Philistines.
  • D. Lyov
    Lyov is a transliterated form of the Russian given name Lev, commonly associated with figures like the writer Leo (Lev) Tolstoy.
  • E. Naameh
    Naameh is a central character in the 2014 biblical epic film "Noah," portrayed as Noah’s devoted wife and partner in facing the coming flood.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8cb16048190bc626685fbb5f707 completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0aef0fe88190adf9cd218cf7d8b4 completed March 8, 2026, 11:49 p.m.
NEDg Description generation batch_69ae0c1ea0388190b44af2223517129e completed March 8, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c7719e881909059cef2c513a05a completed March 8, 2026, 11:55 p.m.
Created at: March 4, 2026, 7:38 p.m.