Triple

T8994005
Position Surface form Disambiguated ID Type / Status
Subject Eirini Lelekou E214854 entity
Predicate hasFamilyName P18 FINISHED
Object Lelekou
Lelekou is a Greek surname, notably borne by individuals such as Eirini Lelekou.
 E214856 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: Lelekou | Statement: [Eirini Lelekou, hasFamilyName, Lelekou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lelekou
Context triple: [Eirini Lelekou, hasFamilyName, Lelekou]
  • A. Lelekou
    Lelekou is the birth surname of renowned Greek actress and singer Irene Papas.
  • B. Duékoué
    Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
  • C. Langoué Baï
    Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
  • D. Korandjé
    Korandjé is a highly endangered Northern Songhay language spoken in the oasis town of Tabelbala in southwestern Algeria.
  • E. Nossi-Bé
    Nossi-Bé is an island off the northwest coast of Madagascar known for its tropical beaches, marine biodiversity, and role as a major tourist destination.
  • 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: Lelekou
Triple: [Eirini Lelekou, hasFamilyName, Lelekou]
Generated description
Lelekou is a Greek surname, notably borne by individuals such as Eirini Lelekou.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lelekou
Target entity description: Lelekou is a Greek surname, notably borne by individuals such as Eirini Lelekou.
  • A. Lelekou chosen
    Lelekou is the birth surname of renowned Greek actress and singer Irene Papas.
  • B. Duékoué
    Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
  • C. Langoué Baï
    Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
  • D. Korandjé
    Korandjé is a highly endangered Northern Songhay language spoken in the oasis town of Tabelbala in southwestern Algeria.
  • E. Nossi-Bé
    Nossi-Bé is an island off the northwest coast of Madagascar known for its tropical beaches, marine biodiversity, and role as a major tourist destination.
  • F. None of above.

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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc687798a881908e6fdd9a39219f1d completed April 1, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0cd2b948190947a26fe11ad81bf completed April 3, 2026, 2:38 p.m.
NEDg Description generation batch_69cfd27680408190a5ebcebacf9e4303 completed April 3, 2026, 2:45 p.m.
NED2 Entity disambiguation (via description) batch_69cfd2dbf3cc81909589bd9467239573 completed April 3, 2026, 2:46 p.m.
Created at: March 30, 2026, 7:04 p.m.