Triple
T3213658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eissa Al Mana |
E67339
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Al Mana
Al Mana is a Qatari family name associated with a prominent business and entrepreneurial clan in the Gulf region.
|
E337542
|
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: Al Mana | Statement: [Eissa Al Mana, familyName, Al Mana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Mana Context triple: [Eissa Al Mana, familyName, Al Mana]
-
A.
Al Mahara
Al Mahara is a high-end seafood restaurant in Dubai renowned for its immersive floor-to-ceiling aquarium setting inside the iconic Burj Al Arab hotel.
-
B.
Mesaieed
Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
-
C.
Ha'il
Ha'il is a major city in northwestern Saudi Arabia known historically as a key stop on desert trade routes and today as an agricultural and administrative center.
-
D.
El-Auria
El-Auria is the destroyed homeworld of the long-lived, empathic Listener species to which Guinan belongs in the Star Trek universe.
-
E.
Ḥimṣ
Ḥimṣ is an alternative transliteration of Homs, a major city in western Syria known for its historical significance and role in the Syrian conflict.
- 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: Al Mana Triple: [Eissa Al Mana, familyName, Al Mana]
Generated description
Al Mana is a Qatari family name associated with a prominent business and entrepreneurial clan in the Gulf region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al Mana Target entity description: Al Mana is a Qatari family name associated with a prominent business and entrepreneurial clan in the Gulf region.
-
A.
Al Mahara
Al Mahara is a high-end seafood restaurant in Dubai renowned for its immersive floor-to-ceiling aquarium setting inside the iconic Burj Al Arab hotel.
-
B.
Mesaieed
Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
-
C.
Ha'il
Ha'il is a major city in northwestern Saudi Arabia known historically as a key stop on desert trade routes and today as an agricultural and administrative center.
-
D.
El-Auria
El-Auria is the destroyed homeworld of the long-lived, empathic Listener species to which Guinan belongs in the Star Trek universe.
-
E.
Ḥimṣ
Ḥimṣ is an alternative transliteration of Homs, a major city in western Syria known for its historical significance and role in the Syrian conflict.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaabd01d48190be0dc610b9987a25 |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b26237211c81908cddc4e8d42e497e |
completed | March 12, 2026, 6:50 a.m. |
| NEDg | Description generation | batch_69b264c54c508190be85da879935e7f4 |
completed | March 12, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b268d60bd0819097194da2e9065947 |
completed | March 12, 2026, 7:18 a.m. |
Created at: March 8, 2026, 3:07 p.m.