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.