Triple

T14280050
Position Surface form Disambiguated ID Type / Status
Subject Aikaterini Karousou E354019 entity
Predicate familyName P18 FINISHED
Object Karousou
Karousou is a Greek surname most notably borne by Aikaterini Karousou.
 E1089032 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: Karousou | Statement: [Aikaterini Karousou, familyName, Karousou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Karousou
Context triple: [Aikaterini Karousou, familyName, Karousou]
  • A. Karavola
    Karavola is the summit that forms the highest peak of Mount Parnitha in Greece.
  • B. Kalokairi
    Kalokairi is a fictional Greek island best known as the main setting of the musical and film "Mamma Mia!".
  • C. Kalamos
    Kalamos is a coastal town in eastern Attica, Greece, known for its beaches, pine-covered hills, and proximity to Athens.
  • D. Kalamos
    Kalamos is a small, mountainous Greek island in the Ionian Sea known for its traditional village, pine-covered landscape, and quiet, unspoiled beaches.
  • E. Erris
    Erris is a remote barony on the northwest coast of County Mayo in Ireland, known for its rugged Atlantic landscapes, Gaeltacht (Irish-speaking) communities, and rich traditional culture.
  • 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: Karousou
Triple: [Aikaterini Karousou, familyName, Karousou]
Generated description
Karousou is a Greek surname most notably borne by Aikaterini Karousou.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Karousou
Target entity description: Karousou is a Greek surname most notably borne by Aikaterini Karousou.
  • A. Karavola
    Karavola is the summit that forms the highest peak of Mount Parnitha in Greece.
  • B. Kalokairi
    Kalokairi is a fictional Greek island best known as the main setting of the musical and film "Mamma Mia!".
  • C. Kalamos
    Kalamos is a coastal town in eastern Attica, Greece, known for its beaches, pine-covered hills, and proximity to Athens.
  • D. Kalamos
    Kalamos is a small, mountainous Greek island in the Ionian Sea known for its traditional village, pine-covered landscape, and quiet, unspoiled beaches.
  • E. Erris
    Erris is a remote barony on the northwest coast of County Mayo in Ireland, known for its rugged Atlantic landscapes, Gaeltacht (Irish-speaking) communities, and rich traditional culture.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6585270c8190a717127b2f5dab3b completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd32719ecc8190b57aad5197521359 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd333b49a88190834a5f45fa0fc6c2 completed May 8, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd33bdc8d08190be11f5ccf259cd6a completed May 8, 2026, 12:52 a.m.
Created at: April 10, 2026, 1:10 a.m.