Triple

T20613897
Position Surface form Disambiguated ID Type / Status
Subject Achan E506516 entity
Predicate hasAncestor P369 FINISHED
Object Zabdi
Zabdi is a biblical figure mentioned in the Old Testament as part of the genealogy of the tribe of Judah.
E1441512 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: Zabdi | Statement: [Achan, hasAncestor, Zabdi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zabdi
Context triple: [Achan, hasAncestor, Zabdi]
  • A. Zabban
    Zabban is an alternate given name of Abu Amr ibn al-Ala, a prominent early Islamic scholar and one of the canonical readers of the Qur’an.
  • B. Zabdas
    Zabdas was a prominent 3rd-century Palmyrene general who led Queen Zenobia’s forces in major campaigns against the Roman Empire.
  • C. Zababa
    Zababa is an ancient Mesopotamian war god particularly venerated in the city of Kish.
  • D. Zabali
    Zabali is a coastal barangay in the municipality of Baler in Aurora province, Philippines, known for its beaches and proximity to popular surf spots.
  • E. Zabdeno
    Zabdeno is a viral vector vaccine that uses a human adenovirus serotype 26 platform to provide protection against Ebola virus disease.
  • 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: Zabdi
Triple: [Achan, hasAncestor, Zabdi]
Generated description
Zabdi is a biblical figure mentioned in the Old Testament as part of the genealogy of the tribe of Judah.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zabdi
Target entity description: Zabdi is a biblical figure mentioned in the Old Testament as part of the genealogy of the tribe of Judah.
  • A. Zabban
    Zabban is an alternate given name of Abu Amr ibn al-Ala, a prominent early Islamic scholar and one of the canonical readers of the Qur’an.
  • B. Zabdas
    Zabdas was a prominent 3rd-century Palmyrene general who led Queen Zenobia’s forces in major campaigns against the Roman Empire.
  • C. Zababa
    Zababa is an ancient Mesopotamian war god particularly venerated in the city of Kish.
  • D. Zabali
    Zabali is a coastal barangay in the municipality of Baler in Aurora province, Philippines, known for its beaches and proximity to popular surf spots.
  • E. Zabdeno
    Zabdeno is a viral vector vaccine that uses a human adenovirus serotype 26 platform to provide protection against Ebola virus disease.
  • 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aada19e481909363428ceda67603 completed April 20, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bb10d5a081909175c5da82ab06cc completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bc9cf5a08190b4cacc9c239ee0f4 completed May 16, 2026, 6:51 p.m.
NED2 Entity disambiguation (via description) batch_6a08bd08c6988190b643f06650bc83b7 completed May 16, 2026, 6:52 p.m.
Created at: April 16, 2026, 11:41 a.m.