Triple

T15623587
Position Surface form Disambiguated ID Type / Status
Subject Hassan E375623 entity
Predicate marriedTo P13 FINISHED
Object Farzana
Farzana is an individual known primarily as the spouse of Hassan.
E1167673 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: Farzana | Statement: [Hassan, marriedTo, Farzana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farzana
Context triple: [Hassan, marriedTo, Farzana]
  • A. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • B. Zabiba
    Zabiba was the enslaved Ethiopian woman who became the mother of the famed pre-Islamic Arab poet and warrior Antarah ibn Shaddad.
  • C. Rashidah
    Rashidah is a feminine given name of Arabic origin commonly used in Muslim communities.
  • D. Bilqas
    Bilqas is a town in Egypt located within the Dakahlia Governorate in the Nile Delta region.
  • E. Zahra
    Zahra is the given name of Princess Zahra Aga Khan, a prominent member of the Aga Khan family known for her work in international development and philanthropy.
  • 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: Farzana
Triple: [Hassan, marriedTo, Farzana]
Generated description
Farzana is an individual known primarily as the spouse of Hassan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Farzana
Target entity description: Farzana is an individual known primarily as the spouse of Hassan.
  • A. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • B. Zabiba
    Zabiba was the enslaved Ethiopian woman who became the mother of the famed pre-Islamic Arab poet and warrior Antarah ibn Shaddad.
  • C. Rashidah
    Rashidah is a feminine given name of Arabic origin commonly used in Muslim communities.
  • D. Bilqas
    Bilqas is a town in Egypt located within the Dakahlia Governorate in the Nile Delta region.
  • E. Zahra
    Zahra is the given name of Princess Zahra Aga Khan, a prominent member of the Aga Khan family known for her work in international development and philanthropy.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9cfd94819091459aa17a002eaf completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3f65dc8190ac94db1d4d53d77f completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff60188df48190a1cc891757a795d0 completed May 9, 2026, 4:26 p.m.
NED2 Entity disambiguation (via description) batch_69ff60938ef081908cd88cf8242bc785 completed May 9, 2026, 4:28 p.m.
Created at: April 10, 2026, 4:14 a.m.