Triple
T17144063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jellaz Cemetery |
E416044
|
entity |
| Predicate | notableBurial |
P196
|
FINISHED |
| Object |
Hédi Chaker
Hédi Chaker was a prominent Tunisian nationalist leader and independence activist who played a key role in the country’s anti-colonial movement.
|
E1254623
|
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: Hédi Chaker | Statement: [Jellaz Cemetery, notableBurial, Hédi Chaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hédi Chaker Context triple: [Jellaz Cemetery, notableBurial, Hédi Chaker]
-
A.
Chadlia Saïda Farhat
Chadlia Saïda Farhat was the First Lady of Tunisia during the presidency of her husband, Beji Caid Essebsi.
-
B.
Aida El-Kachef
Aida El-Kachef is known as the wife of Egyptian diplomat and Nobel Peace Prize laureate Mohamed ElBaradei.
-
C.
Samia Chancrin
Samia Chancrin is an actress known for her role in the German crime thriller film "In the Fade."
-
D.
Leïla Bekhti
Leïla Bekhti is a French actress known for her acclaimed film and television roles, earning recognition as one of the prominent performers of contemporary French cinema.
-
E.
Tahya Tounes
Tahya Tounes is a Tunisian political party formed by former members of Nidaa Tounes and associated with centrist, secular, and pro-government positions.
- 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: Hédi Chaker Triple: [Jellaz Cemetery, notableBurial, Hédi Chaker]
Generated description
Hédi Chaker was a prominent Tunisian nationalist leader and independence activist who played a key role in the country’s anti-colonial movement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hédi Chaker Target entity description: Hédi Chaker was a prominent Tunisian nationalist leader and independence activist who played a key role in the country’s anti-colonial movement.
-
A.
Chadlia Saïda Farhat
Chadlia Saïda Farhat was the First Lady of Tunisia during the presidency of her husband, Beji Caid Essebsi.
-
B.
Aida El-Kachef
Aida El-Kachef is known as the wife of Egyptian diplomat and Nobel Peace Prize laureate Mohamed ElBaradei.
-
C.
Samia Chancrin
Samia Chancrin is an actress known for her role in the German crime thriller film "In the Fade."
-
D.
Leïla Bekhti
Leïla Bekhti is a French actress known for her acclaimed film and television roles, earning recognition as one of the prominent performers of contemporary French cinema.
-
E.
Tahya Tounes
Tahya Tounes is a Tunisian political party formed by former members of Nidaa Tounes and associated with centrist, secular, and pro-government positions.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d8ca8c81909bba0cd6d60a4776 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483158348190abb96b36caaf455a |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a014aaaa3308190872d6db566a75511 |
completed | May 11, 2026, 3:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014b092c948190bc8e9e8d3918bf84 |
completed | May 11, 2026, 3:20 a.m. |
Created at: April 10, 2026, 5:36 a.m.