Triple

T405039
Position Surface form Disambiguated ID Type / Status
Subject Abraham E9364 entity
Predicate spouse P13 FINISHED
Object 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.
 E51333 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: Hagar | Statement: [Abraham, spouse, Hagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hagar
Context triple: [Abraham, spouse, Hagar]
  • A. Rebekah
    Rebekah is a feminine given name, traditionally associated with the biblical matriarch Rebecca and used in various English-speaking cultures.
  • B. Hanan
    Hanan is a given name most notably borne by Palestinian legislator, activist, and scholar Hanan Ashrawi.
  • C. Miryam
    Miryam is the Hebrew form of the name of the Virgin Mary, the mother of Jesus in Christian tradition.
  • D. Qena
    Qena is a city in Upper Egypt on the east bank of the Nile, known as a regional administrative center and gateway to nearby ancient sites such as Dendera.
  • E. Tihamah
    Tihamah is a low-lying coastal plain along the Red Sea in western Arabia, known historically as a hot, arid region encompassing parts of modern-day Saudi Arabia and Yemen.
  • 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: Hagar
Triple: [Abraham, spouse, Hagar]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hagar
Target entity description: 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.
  • A. Rebekah
    Rebekah is a feminine given name, traditionally associated with the biblical matriarch Rebecca and used in various English-speaking cultures.
  • B. Hanan
    Hanan is a given name most notably borne by Palestinian legislator, activist, and scholar Hanan Ashrawi.
  • C. Miryam
    Miryam is the Hebrew form of the name of the Virgin Mary, the mother of Jesus in Christian tradition.
  • D. Qena
    Qena is a city in Upper Egypt on the east bank of the Nile, known as a regional administrative center and gateway to nearby ancient sites such as Dendera.
  • E. Tihamah
    Tihamah is a low-lying coastal plain along the Red Sea in western Arabia, known historically as a hot, arid region encompassing parts of modern-day Saudi Arabia and Yemen.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eca37fe881909802126952dfdd59 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a413f594848190bc73e37f30684a37 completed March 1, 2026, 10:24 a.m.
NEDg Description generation batch_69a4144b91f88190b57876fe5b71712f completed March 1, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69a414c79bd081908717ff6368fdafc1 completed March 1, 2026, 10:28 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.