Triple

T13452007
Position Surface form Disambiguated ID Type / Status
Subject Benei Hezir E320629 entity
Predicate hasMember P10 FINISHED
Object Hezir
Hezir is a biblical figure listed among the priestly families of ancient Israel, associated with the Benei Hezir priestly division.
 E1041894 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: Hezir | Statement: [Benei Hezir, hasMember, Hezir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hezir
Context triple: [Benei Hezir, hasMember, Hezir]
  • A. Khudayar
    Khudayar is a male given name most notably associated with Khudayar Khan, a 19th-century ruler of the Khanate of Kokand in Central Asia.
  • B. Houjarray
    Houjarray is a small hamlet in the Île-de-France region of northern France, best known as the site of the Jean Monnet House, a key museum of European integration history.
  • C. Razihi
    Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
  • D. Hasana
    Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
  • E. Shuja
    Shuja is a given name most notably associated with Shuja Shah Durrani, a 19th-century ruler of the Durrani Empire in Afghanistan.
  • 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: Hezir
Triple: [Benei Hezir, hasMember, Hezir]
Generated description
Hezir is a biblical figure listed among the priestly families of ancient Israel, associated with the Benei Hezir priestly division.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hezir
Target entity description: Hezir is a biblical figure listed among the priestly families of ancient Israel, associated with the Benei Hezir priestly division.
  • A. Khudayar
    Khudayar is a male given name most notably associated with Khudayar Khan, a 19th-century ruler of the Khanate of Kokand in Central Asia.
  • B. Houjarray
    Houjarray is a small hamlet in the Île-de-France region of northern France, best known as the site of the Jean Monnet House, a key museum of European integration history.
  • C. Razihi
    Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
  • D. Hasana
    Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
  • E. Shuja
    Shuja is a given name most notably associated with Shuja Shah Durrani, a 19th-century ruler of the Durrani Empire in Afghanistan.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaefae85481909e6a59797cbb25e7 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462340548190b156a8213f5e2556 completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f7485a63e08190bea26a64df4ed2c8 completed May 3, 2026, 1:06 p.m.
NED2 Entity disambiguation (via description) batch_69f748afd5c081908799d48114f13ce5 completed May 3, 2026, 1:08 p.m.
Created at: April 9, 2026, 9:41 p.m.