Triple

T4200855
Position Surface form Disambiguated ID Type / Status
Subject Habib Bourguiba E86060 entity
Predicate givenName P17 FINISHED
Object Habib
Habib is a masculine given name of Arabic origin commonly used in North Africa and the Middle East.
 E419046 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: Habib | Statement: [Habib Bourguiba, givenName, Habib]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Habib
Context triple: [Habib Bourguiba, givenName, Habib]
  • A. Hussain
    Hussain is a common given name and surname of Arabic origin, widely used in Muslim communities around the world.
  • B. Fazl
    Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
  • C. Hassan
    Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
  • D. Hassan
    Hassan is a person known primarily as the sibling of Murad Mirza.
  • E. Hassan
    Hassan is a loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
  • 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: Habib
Triple: [Habib Bourguiba, givenName, Habib]
Generated description
Habib is a masculine given name of Arabic origin commonly used in North Africa and the Middle East.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Habib
Target entity description: Habib is a masculine given name of Arabic origin commonly used in North Africa and the Middle East.
  • A. Hussain
    Hussain is a common given name and surname of Arabic origin, widely used in Muslim communities around the world.
  • B. Fazl
    Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
  • C. Hassan
    Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
  • D. Hassan
    Hassan is a person known primarily as the sibling of Murad Mirza.
  • E. Hassan
    Hassan is a loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af037da30481908106b27a88d59140 completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a14eda88190aaca14644c3e041a completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58ae74ef481908a21ab5f649750e3 completed March 14, 2026, 4:20 p.m.
NED2 Entity disambiguation (via description) batch_69b58b7aad248190ac4f25fb424e9217 completed March 14, 2026, 4:23 p.m.
Created at: March 9, 2026, 3:49 p.m.