Triple
T6829515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mustafa Tlass |
E157100
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tlass
Tlass is a Syrian family name most prominently associated with Mustafa Tlass, a long-serving defense minister under Hafez al-Assad.
|
E621001
|
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: Tlass | Statement: [Mustafa Tlass, familyName, Tlass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tlass Context triple: [Mustafa Tlass, familyName, Tlass]
-
A.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
B.
Toria
Toria is a diminutive or variant form of the given name Victoria, often used as a nickname.
-
C.
Taurision
Taurision is an ancient settlement in North Macedonia, traditionally identified as the birthplace of the Byzantine emperor Justinian I.
-
D.
Teurnia
Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
-
E.
Taralga
Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
- 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: Tlass Triple: [Mustafa Tlass, familyName, Tlass]
Generated description
Tlass is a Syrian family name most prominently associated with Mustafa Tlass, a long-serving defense minister under Hafez al-Assad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tlass Target entity description: Tlass is a Syrian family name most prominently associated with Mustafa Tlass, a long-serving defense minister under Hafez al-Assad.
-
A.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
B.
Toria
Toria is a diminutive or variant form of the given name Victoria, often used as a nickname.
-
C.
Taurision
Taurision is an ancient settlement in North Macedonia, traditionally identified as the birthplace of the Byzantine emperor Justinian I.
-
D.
Teurnia
Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
-
E.
Taralga
Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d626df448190b4b1d7406d571d07 |
completed | March 27, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723f73eec81908c666888a19c0b29 |
completed | March 28, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69c725139d748190ba9588c31b5188bd |
completed | March 28, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c725749efc8190b00fb7f2e44150dd |
completed | March 28, 2026, 12:48 a.m. |
Created at: March 27, 2026, 2:18 p.m.