Triple
T11733011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moez Limayem |
E278946
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Limayem
Limayem is a surname most notably associated with Moez Limayem, a scholar and academic leader in the field of information systems.
|
E942268
|
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: Limayem | Statement: [Moez Limayem, familyName, Limayem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limayem Context triple: [Moez Limayem, familyName, Limayem]
-
A.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
-
B.
Yalama
Yalama is a village and municipality located in the Khachmaz District of northeastern Azerbaijan, near the border with Russia.
-
C.
Shamiya
Shamiya is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
-
D.
Teyuna
Teyuna is the indigenous name for Colombia’s ancient pre-Hispanic city commonly known as Ciudad Perdida, a major archaeological site of the Tayrona civilization in the Sierra Nevada de Santa Marta.
-
E.
Mirina
Mirina is a coastal town on the Greek island of Lemnos, serving as its capital and main port in the northern Aegean Sea.
- 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: Limayem Triple: [Moez Limayem, familyName, Limayem]
Generated description
Limayem is a surname most notably associated with Moez Limayem, a scholar and academic leader in the field of information systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Limayem Target entity description: Limayem is a surname most notably associated with Moez Limayem, a scholar and academic leader in the field of information systems.
-
A.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
-
B.
Yalama
Yalama is a village and municipality located in the Khachmaz District of northeastern Azerbaijan, near the border with Russia.
-
C.
Shamiya
Shamiya is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
-
D.
Teyuna
Teyuna is the indigenous name for Colombia’s ancient pre-Hispanic city commonly known as Ciudad Perdida, a major archaeological site of the Tayrona civilization in the Sierra Nevada de Santa Marta.
-
E.
Mirina
Mirina is a coastal town on the Greek island of Lemnos, serving as its capital and main port in the northern Aegean Sea.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4daa7f48190896fc7653e9dd70b |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef8406fe8881909722ecb040087e68 |
completed | April 27, 2026, 3:43 p.m. |
| NEDg | Description generation | batch_69ef9b68309081909f3f614efeeb2ab1 |
completed | April 27, 2026, 5:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efd6aba82c81909ff22e6b26db3cfe |
completed | April 27, 2026, 9:35 p.m. |
Created at: April 8, 2026, 9:41 p.m.