Triple

T6052737
Position Surface form Disambiguated ID Type / Status
Subject Chedli Klibi E134831 entity
Predicate givenName P17 FINISHED
Object Chedli
Chedli is a Tunisian given name most notably borne by Chedli Klibi, a prominent politician and former Secretary-General of the Arab League.
E563916 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: Chedli | Statement: [Chedli Klibi, givenName, Chedli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chedli
Context triple: [Chedli Klibi, givenName, Chedli]
  • A. Lakhdar
    Lakhdar is an Arabic masculine given name most notably borne by Algerian diplomat Lakhdar Brahimi.
  • B. Kalbeliya
    Kalbeliya is a vibrant folk dance form of the Kalbeliya (snake-charmer) community, characterized by fast, swirling movements and colorful costumes, and is recognized by UNESCO as an Intangible Cultural Heritage of Humanity.
  • C. El Hajeb
    El Hajeb is a town and provincial capital in northern Morocco, situated in the Fès-Meknès region.
  • D. Madouri
    Madouri is a small Ionian Sea island off the coast of Lefkada in Greece, known for its scenic beauty and association with the Greek poet Aristotelis Valaoritis.
  • E. Beni Khiar
    Beni Khiar is a coastal town in northeastern Tunisia known for its beaches, agriculture, and role as a local commercial center.
  • 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: Chedli
Triple: [Chedli Klibi, givenName, Chedli]
Generated description
Chedli is a Tunisian given name most notably borne by Chedli Klibi, a prominent politician and former Secretary-General of the Arab League.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chedli
Target entity description: Chedli is a Tunisian given name most notably borne by Chedli Klibi, a prominent politician and former Secretary-General of the Arab League.
  • A. Lakhdar
    Lakhdar is an Arabic masculine given name most notably borne by Algerian diplomat Lakhdar Brahimi.
  • B. Kalbeliya
    Kalbeliya is a vibrant folk dance form of the Kalbeliya (snake-charmer) community, characterized by fast, swirling movements and colorful costumes, and is recognized by UNESCO as an Intangible Cultural Heritage of Humanity.
  • C. El Hajeb
    El Hajeb is a town and provincial capital in northern Morocco, situated in the Fès-Meknès region.
  • D. Madouri
    Madouri is a small Ionian Sea island off the coast of Lefkada in Greece, known for its scenic beauty and association with the Greek poet Aristotelis Valaoritis.
  • E. Beni Khiar
    Beni Khiar is a coastal town in northeastern Tunisia known for its beaches, agriculture, and role as a local commercial center.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056f92b408190b0075766aad315d6 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113ac051c8190b2b8a4985948d8e0 completed March 23, 2026, 10:19 a.m.
NEDg Description generation batch_69c114ad4fb48190a47a77affa0c4940 completed March 23, 2026, 10:23 a.m.
NED2 Entity disambiguation (via description) batch_69c1151f66e48190975e5c9e9b98895a completed March 23, 2026, 10:25 a.m.
Created at: March 22, 2026, 4:09 p.m.