Triple

T3486242
Position Surface form Disambiguated ID Type / Status
Subject Abdullah Hammoud E73612 entity
Predicate familyName P18 FINISHED
Object Hammoud
Hammoud is an Arabic-origin surname commonly borne by individuals and families across the Middle East and its diaspora.
E361210 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: Hammoud | Statement: [Abdullah Hammoud, familyName, Hammoud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hammoud
Context triple: [Abdullah Hammoud, familyName, Hammoud]
  • A. Al-Balad
    Al-Balad is the 90th chapter (surah) of the Qur’an, known for its emphasis on moral struggle, charity, and perseverance in the face of hardship.
  • B. Ad-Duha
    Ad-Duha is the 93rd chapter of the Qur’an, known for consoling the Prophet Muhammad and affirming that God’s care and future blessings surpass past hardships.
  • C. Masfout
    Masfout is a mountainous inland town and enclave of the Emirate of Ajman in the United Arab Emirates, known for its cooler climate, agriculture, and scenic landscapes.
  • D. Murzuq
    Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
  • E. Halala
    Halala was an ancient settlement in the Roman Empire, notable as the place where Empress Faustina the Younger died.
  • 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: Hammoud
Triple: [Abdullah Hammoud, familyName, Hammoud]
Generated description
Hammoud is an Arabic-origin surname commonly borne by individuals and families across the Middle East and its diaspora.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hammoud
Target entity description: Hammoud is an Arabic-origin surname commonly borne by individuals and families across the Middle East and its diaspora.
  • A. Al-Balad
    Al-Balad is the 90th chapter (surah) of the Qur’an, known for its emphasis on moral struggle, charity, and perseverance in the face of hardship.
  • B. Ad-Duha
    Ad-Duha is the 93rd chapter of the Qur’an, known for consoling the Prophet Muhammad and affirming that God’s care and future blessings surpass past hardships.
  • C. Masfout
    Masfout is a mountainous inland town and enclave of the Emirate of Ajman in the United Arab Emirates, known for its cooler climate, agriculture, and scenic landscapes.
  • D. Murzuq
    Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
  • E. Halala
    Halala was an ancient settlement in the Roman Empire, notable as the place where Empress Faustina the Younger died.
  • 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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbb9059f881908f9cbe544365c8df completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b368248f9c81908a1905a705e57c53 completed March 13, 2026, 1:28 a.m.
NEDg Description generation batch_69b36a2231008190820b0c50ad2d661a completed March 13, 2026, 1:36 a.m.
NED2 Entity disambiguation (via description) batch_69b36a8dae1481908b10a966ebcf89b2 completed March 13, 2026, 1:38 a.m.
Created at: March 8, 2026, 3:18 p.m.