Triple
T3932229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beji Caid Essebsi |
E90820
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Beji
Beji is the given name of Beji Caid Essebsi, the Tunisian politician who served as president of Tunisia after the 2011 revolution.
|
E399577
|
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: Beji | Statement: [Beji Caid Essebsi, givenName, Beji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beji Context triple: [Beji Caid Essebsi, givenName, Beji]
-
A.
Bahraich
Bahraich is a city in the Indian state of Uttar Pradesh, known for its location in the Terai region near the Nepal border and its historical and cultural significance.
-
B.
Bahau
Bahau is a prominent town in the Malaysian state of Negeri Sembilan, serving as a local commercial and transportation hub for the surrounding rural areas.
-
C.
Medeba
Medeba is an ancient city east of the Dead Sea, known from biblical accounts and later as a significant settlement in the region of Moab.
-
D.
Nuweiba
Nuweiba is a coastal town in Egypt’s Sinai Peninsula known for its port on the Gulf of Aqaba and its role as a gateway for regional maritime travel and tourism.
-
E.
Hamina
Hamina is a coastal town and municipality in southeastern Finland known for its historic star-shaped fortress and strategic location on the Gulf of Finland.
- 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: Beji Triple: [Beji Caid Essebsi, givenName, Beji]
Generated description
Beji is the given name of Beji Caid Essebsi, the Tunisian politician who served as president of Tunisia after the 2011 revolution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beji Target entity description: Beji is the given name of Beji Caid Essebsi, the Tunisian politician who served as president of Tunisia after the 2011 revolution.
-
A.
Bahraich
Bahraich is a city in the Indian state of Uttar Pradesh, known for its location in the Terai region near the Nepal border and its historical and cultural significance.
-
B.
Bahau
Bahau is a prominent town in the Malaysian state of Negeri Sembilan, serving as a local commercial and transportation hub for the surrounding rural areas.
-
C.
Medeba
Medeba is an ancient city east of the Dead Sea, known from biblical accounts and later as a significant settlement in the region of Moab.
-
D.
Nuweiba
Nuweiba is a coastal town in Egypt’s Sinai Peninsula known for its port on the Gulf of Aqaba and its role as a gateway for regional maritime travel and tourism.
-
E.
Hamina
Hamina is a coastal town and municipality in southeastern Finland known for its historic star-shaped fortress and strategic location on the Gulf of Finland.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedaaf3c881909539831bf3a8bf10 |
completed | March 9, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52887d4a48190b51df3f51ff197c0 |
completed | March 14, 2026, 9:21 a.m. |
| NEDg | Description generation | batch_69b529a1486881908ff348558199232b |
completed | March 14, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b52a43c6f081908366d9848728f98a |
completed | March 14, 2026, 9:28 a.m. |
Created at: March 9, 2026, 3:23 p.m.