Triple
T16708798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne de Zogheb |
E406044
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
de Zogheb
de Zogheb is a surname most notably associated with Anne de Zogheb, a former fashion model and the ex-wife of singer Paul Anka.
|
E1229719
|
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: de Zogheb | Statement: [Anne de Zogheb, familyName, de Zogheb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Zogheb Context triple: [Anne de Zogheb, familyName, de Zogheb]
-
A.
Berbera
Berbera is a major port city on the Gulf of Aden in Somaliland, serving as a key maritime hub for trade in the Horn of Africa.
-
B.
Soddo-Kistane
Soddo-Kistane is a Gurage Semitic language spoken in central Ethiopia, primarily by the Soddo (Kistane) people.
-
C.
Lalibela
Lalibela is a historic town in northern Ethiopia renowned for its 12th–13th century rock-hewn churches, which are among the most important pilgrimage sites of Ethiopian Christianity.
-
D.
Melesse
Melesse is a commune in the Ille-et-Vilaine department of Brittany in northwestern France.
-
E.
Hadrut
Hadrut is a town in the Nagorno-Karabakh region, historically part of the Shusha uezd, known for its strategic location and role in regional conflicts between Armenia and Azerbaijan.
- 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: de Zogheb Triple: [Anne de Zogheb, familyName, de Zogheb]
Generated description
de Zogheb is a surname most notably associated with Anne de Zogheb, a former fashion model and the ex-wife of singer Paul Anka.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Zogheb Target entity description: de Zogheb is a surname most notably associated with Anne de Zogheb, a former fashion model and the ex-wife of singer Paul Anka.
-
A.
Berbera
Berbera is a major port city on the Gulf of Aden in Somaliland, serving as a key maritime hub for trade in the Horn of Africa.
-
B.
Soddo-Kistane
Soddo-Kistane is a Gurage Semitic language spoken in central Ethiopia, primarily by the Soddo (Kistane) people.
-
C.
Lalibela
Lalibela is a historic town in northern Ethiopia renowned for its 12th–13th century rock-hewn churches, which are among the most important pilgrimage sites of Ethiopian Christianity.
-
D.
Melesse
Melesse is a commune in the Ille-et-Vilaine department of Brittany in northwestern France.
-
E.
Hadrut
Hadrut is a town in the Nagorno-Karabakh region, historically part of the Shusha uezd, known for its strategic location and role in regional conflicts between Armenia and Azerbaijan.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38650c3808190a561f22b169dc3ae |
completed | April 18, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091a739308190b4d645e096d1710b |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a00935ad86881908c45cdb513313a1d |
completed | May 10, 2026, 2:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a009a0bd7f8819090fb16d88108b96d |
completed | May 10, 2026, 2:45 p.m. |
Created at: April 10, 2026, 5:20 a.m.