Triple

T2832413
Position Surface form Disambiguated ID Type / Status
Subject Hala Hussein E62269 entity
Predicate givenName P17 FINISHED
Object Hala
Hala is a feminine given name of Arabic origin commonly used across the Middle East and among Arabic-speaking communities worldwide.
 E303394 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: Hala | Statement: [Hala Hussein, givenName, Hala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hala
Context triple: [Hala Hussein, givenName, Hala]
  • A. Hanan
    Hanan is a given name most notably borne by Palestinian legislator, activist, and scholar Hanan Ashrawi.
  • B. Hajar
    Hajar is a revered figure in Islamic tradition, known as the wife of Prophet Ibrahim (Abraham) and the mother of Prophet Isma'il (Ishmael), whose faith and perseverance are commemorated in the rituals of Hajj.
  • C. Humera
    Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
  • D. Eldaah
    Eldaah is a minor biblical figure listed in the Hebrew Bible as one of the descendants of Abraham through his wife Keturah.
  • E. Haluza
    Haluza is an ancient Nabatean city and archaeological site located in Israel’s Negev desert, once a key stop on the Incense Route.
  • 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: Hala
Triple: [Hala Hussein, givenName, Hala]
Generated description
Hala is a feminine given name of Arabic origin commonly used across the Middle East and among Arabic-speaking communities worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hala
Target entity description: Hala is a feminine given name of Arabic origin commonly used across the Middle East and among Arabic-speaking communities worldwide.
  • A. Hanan
    Hanan is a given name most notably borne by Palestinian legislator, activist, and scholar Hanan Ashrawi.
  • B. Hajar
    Hajar is a revered figure in Islamic tradition, known as the wife of Prophet Ibrahim (Abraham) and the mother of Prophet Isma'il (Ishmael), whose faith and perseverance are commemorated in the rituals of Hajj.
  • C. Humera
    Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
  • D. Eldaah
    Eldaah is a minor biblical figure listed in the Hebrew Bible as one of the descendants of Abraham through his wife Keturah.
  • E. Haluza
    Haluza is an ancient Nabatean city and archaeological site located in Israel’s Negev desert, once a key stop on the Incense Route.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdebe95188190bf65fb4cd88e2ec5 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8bb92b08190b1de7e6973d96301 completed March 10, 2026, 9:47 a.m.
NEDg Description generation batch_69afea972cc8819087455f3233f84d21 completed March 10, 2026, 9:55 a.m.
NED2 Entity disambiguation (via description) batch_69b003cb1b2081909ddf2e6bae3e5491 completed March 10, 2026, 11:43 a.m.
Created at: March 6, 2026, 10:01 p.m.