Triple

T11842452
Position Surface form Disambiguated ID Type / Status
Subject Laila Ali E281686 entity
Predicate sibling P363 FINISHED
Object Hana Ali
Hana Ali is an American author and the daughter of boxing legend Muhammad Ali, known for writing and compiling books about her father's life and legacy.
E949179 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: Hana Ali | Statement: [Laila Ali, sibling, Hana Ali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hana Ali
Context triple: [Laila Ali, sibling, Hana Ali]
  • A. Hanan Hashim
    Hanan Hashim is the mother of Queen Alia al-Hussein of Jordan and a member of the extended Jordanian royal family.
  • B. Mizzi Ahmar
    Mizzi Ahmar is a reddish variety of Jerusalem stone commonly used as a traditional building material in and around Jerusalem.
  • C. Khweldi Hameidi
    Khweldi Hameidi was a senior Libyan military officer and close associate of Muammar Gaddafi who played a key role in the 1969 coup and the subsequent governance of Libya.
  • D. Kara Osman
    Kara Osman, better known as Osman I, was the founder and first ruler of the Ottoman Empire in the late 13th and early 14th centuries.
  • E. Samar Navabi
    Samar Navabi is a skilled Mossad and FBI operative known for her intelligence, moral complexity, and key role in the crime drama series "The Blacklist."
  • 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: Hana Ali
Triple: [Laila Ali, sibling, Hana Ali]
Generated description
Hana Ali is an American author and the daughter of boxing legend Muhammad Ali, known for writing and compiling books about her father's life and legacy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hana Ali
Target entity description: Hana Ali is an American author and the daughter of boxing legend Muhammad Ali, known for writing and compiling books about her father's life and legacy.
  • A. Hanan Hashim
    Hanan Hashim is the mother of Queen Alia al-Hussein of Jordan and a member of the extended Jordanian royal family.
  • B. Mizzi Ahmar
    Mizzi Ahmar is a reddish variety of Jerusalem stone commonly used as a traditional building material in and around Jerusalem.
  • C. Khweldi Hameidi
    Khweldi Hameidi was a senior Libyan military officer and close associate of Muammar Gaddafi who played a key role in the 1969 coup and the subsequent governance of Libya.
  • D. Kara Osman
    Kara Osman, better known as Osman I, was the founder and first ruler of the Ottoman Empire in the late 13th and early 14th centuries.
  • E. Samar Navabi
    Samar Navabi is a skilled Mossad and FBI operative known for her intelligence, moral complexity, and key role in the crime drama series "The Blacklist."
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65a597c8190b09f57463b279afc completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1678668ac81909bddf67e8c176757 completed April 29, 2026, 2:05 a.m.
NEDg Description generation batch_69f17005c318819090e54bc64d135477 completed April 29, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69f17814de1881908973af026af5d1d1 completed April 29, 2026, 3:16 a.m.
Created at: April 8, 2026, 9:43 p.m.