Triple

T1183802
Position Surface form Disambiguated ID Type / Status
Subject Ahmed E25198 entity
Predicate hasTypicalNickname P11214 FINISHED
Object Medo
Medo is a common affectionate nickname often used for people named Ahmed, particularly in Arabic-speaking communities.
 E135682 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: Medo | Statement: [Ahmed, hasTypicalNickname, Medo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Medo
Context triple: [Ahmed, hasTypicalNickname, Medo]
  • A. Jurata
    Jurata is a seaside resort village in northern Poland, known for its sandy beaches and location on the Hel Peninsula along the Baltic Sea.
  • B. Atossa
    Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
  • C. Shosha
    Shosha is a novel by Nobel Prize–winning author Isaac Bashevis Singer that portrays a doomed love story set against the backdrop of pre–World War II Jewish Warsaw.
  • D. Taphus
    Taphus was the original name of the town that later became Charlotte Amalie, the capital of the U.S. Virgin Islands.
  • E. Tabasaran
    Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • 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: Medo
Triple: [Ahmed, hasTypicalNickname, Medo]
Generated description
Medo is a common affectionate nickname often used for people named Ahmed, particularly in Arabic-speaking communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Medo
Target entity description: Medo is a common affectionate nickname often used for people named Ahmed, particularly in Arabic-speaking communities.
  • A. Jurata
    Jurata is a seaside resort village in northern Poland, known for its sandy beaches and location on the Hel Peninsula along the Baltic Sea.
  • B. Atossa
    Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
  • C. Shosha
    Shosha is a novel by Nobel Prize–winning author Isaac Bashevis Singer that portrays a doomed love story set against the backdrop of pre–World War II Jewish Warsaw.
  • D. Taphus
    Taphus was the original name of the town that later became Charlotte Amalie, the capital of the U.S. Virgin Islands.
  • E. Tabasaran
    Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bf15423481909cb3e661e58d3d94 completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f239a288190ae488d11cff8ebf2 completed March 7, 2026, 6:32 p.m.
NEDg Description generation batch_69ac6fea11408190b84d9fc54d4c4917 completed March 7, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69ac70592c5c8190a1f86378ec5f70a9 completed March 7, 2026, 6:37 p.m.
Created at: March 1, 2026, 7:45 p.m.