Triple

T648732
Position Surface form Disambiguated ID Type / Status
Subject Moses E11297 entity
Predicate associatedWithPeople P2830 FINISHED
Object Zipporah
Zipporah is the Midianite wife of Moses in the Hebrew Bible, known for accompanying him to Egypt and intervening to save his life in a mysterious incident involving their son’s circumcision.
 E81543 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: Zipporah | Statement: [Moses, associatedWithPeople, Zipporah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zipporah
Context triple: [Moses, associatedWithPeople, Zipporah]
  • A. Zilpah
    Zilpah is a biblical figure who served as Leah’s maidservant and bore two of Jacob’s sons, Gad and Asher.
  • B. Miryam
    Miryam is the Hebrew form of the name of the Virgin Mary, the mother of Jesus in Christian tradition.
  • C. Miriam
    Miriam is a prominent biblical figure known as the sister of Moses and Aaron and as a prophetess during the Exodus of the Israelites from Egypt.
  • D. Bilhah
    Bilhah is a biblical figure who served as Rachel’s maidservant and bore two of Jacob’s sons, Dan and Naphtali.
  • E. Hagar
    Hagar is a biblical figure known as the Egyptian servant of Sarah who bore Abraham’s son Ishmael and is revered in Jewish, Christian, and Islamic traditions.
  • 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: Zipporah
Triple: [Moses, associatedWithPeople, Zipporah]
Generated description
Zipporah is the Midianite wife of Moses in the Hebrew Bible, known for accompanying him to Egypt and intervening to save his life in a mysterious incident involving their son’s circumcision.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zipporah
Target entity description: Zipporah is the Midianite wife of Moses in the Hebrew Bible, known for accompanying him to Egypt and intervening to save his life in a mysterious incident involving their son’s circumcision.
  • A. Zilpah
    Zilpah is a biblical figure who served as Leah’s maidservant and bore two of Jacob’s sons, Gad and Asher.
  • B. Miryam
    Miryam is the Hebrew form of the name of the Virgin Mary, the mother of Jesus in Christian tradition.
  • C. Miriam
    Miriam is a prominent biblical figure known as the sister of Moses and Aaron and as a prophetess during the Exodus of the Israelites from Egypt.
  • D. Bilhah
    Bilhah is a biblical figure who served as Rachel’s maidservant and bore two of Jacob’s sons, Dan and Naphtali.
  • E. Hagar
    Hagar is a biblical figure known as the Egyptian servant of Sarah who bore Abraham’s son Ishmael and is revered in Jewish, Christian, and Islamic traditions.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f308f34819094ba28cfc786051e completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58a716de88190854e13fb5143b9b3 completed March 2, 2026, 1:02 p.m.
NEDg Description generation batch_69a58f0211cc81908da2813dd0c01be7 completed March 2, 2026, 1:22 p.m.
NED2 Entity disambiguation (via description) batch_69a58f58dfa88190a29ba56270267d05 completed March 2, 2026, 1:23 p.m.
Created at: March 1, 2026, 7:36 p.m.