Triple

T10568864
Position Surface form Disambiguated ID Type / Status
Subject Wasfi al-Tal E249424 entity
Predicate hasChild P369 FINISHED
Object Lana al-Tal
Lana al-Tal is the daughter of the late Jordanian Prime Minister Wasfi al-Tal, a prominent political figure in Jordan’s modern history.
 E873687 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: Lana al-Tal | Statement: [Wasfi al-Tal, hasChild, Lana al-Tal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lana al-Tal
Context triple: [Wasfi al-Tal, hasChild, Lana al-Tal]
  • A. Safa al-Bitar
    Safa al-Bitar is known primarily as the wife of the late Hezbollah military commander Imad Mughniyeh.
  • B. Taysir Abu Sneineh
    Taysir Abu Sneineh is a Palestinian politician who has served as the mayor of Hebron in the West Bank.
  • C. Hanan al-Shaykh
    Hanan al-Shaykh is a prominent Lebanese novelist and short story writer known for her bold explorations of gender, sexuality, and social norms in contemporary Arabic literature.
  • D. Latifa al-Zayyat
    Latifa al-Zayyat was an influential Egyptian novelist, critic, and feminist intellectual best known for her pioneering role in modern Arabic literature and women’s rights.
  • E. Niemeh Erekat
    Niemeh Erekat is the wife of the late Palestinian diplomat and chief negotiator Saeb Erekat.
  • 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: Lana al-Tal
Triple: [Wasfi al-Tal, hasChild, Lana al-Tal]
Generated description
Lana al-Tal is the daughter of the late Jordanian Prime Minister Wasfi al-Tal, a prominent political figure in Jordan’s modern history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lana al-Tal
Target entity description: Lana al-Tal is the daughter of the late Jordanian Prime Minister Wasfi al-Tal, a prominent political figure in Jordan’s modern history.
  • A. Safa al-Bitar
    Safa al-Bitar is known primarily as the wife of the late Hezbollah military commander Imad Mughniyeh.
  • B. Taysir Abu Sneineh
    Taysir Abu Sneineh is a Palestinian politician who has served as the mayor of Hebron in the West Bank.
  • C. Hanan al-Shaykh
    Hanan al-Shaykh is a prominent Lebanese novelist and short story writer known for her bold explorations of gender, sexuality, and social norms in contemporary Arabic literature.
  • D. Latifa al-Zayyat
    Latifa al-Zayyat was an influential Egyptian novelist, critic, and feminist intellectual best known for her pioneering role in modern Arabic literature and women’s rights.
  • E. Niemeh Erekat
    Niemeh Erekat is the wife of the late Palestinian diplomat and chief negotiator Saeb Erekat.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272ff53c8190ae7c399d49b585f5 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e7396a4819082cc73c736636fb9 completed April 10, 2026, 8:32 p.m.
NEDg Description generation batch_69d95f80d0c48190b88e3a4b3e42279c completed April 10, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_69d9602748608190b0c971accf44b7aa completed April 10, 2026, 8:40 p.m.
Created at: April 6, 2026, 12:37 p.m.