Triple

T24770617
Position Surface form Disambiguated ID Type / Status
Subject Grigoris Lambrakis Stadium E619710 entity
Predicate namedAfter P63 FINISHED
Object Grigoris Lambrakis
Grigoris Lambrakis was a Greek politician, physician, and peace activist whose assassination in 1963 made him a symbol of the struggle for democracy and social justice in Greece.
E1650815 NE FINISHED

How this triple was built (2 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: Grigoris Lambrakis | Statement: [Grigoris Lambrakis Stadium, namedAfter, Grigoris Lambrakis]
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: Grigoris Lambrakis
Triple: [Grigoris Lambrakis Stadium, namedAfter, Grigoris Lambrakis]
Generated description
Grigoris Lambrakis was a Greek politician, physician, and peace activist whose assassination in 1963 made him a symbol of the struggle for democracy and social justice in Greece.

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_69e2fabd04488190a2d13c97be745a2d completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f410a9d0108190aab27514de6f515f completed May 1, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c182eb08190a6e7039f51173f25 completed May 22, 2026, 9:04 a.m.
NEDg Description generation batch_6a10248751648190aabfa72ad8ab0b3f completed May 22, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_6a102586c1288190bf8eeb513537b189 completed May 22, 2026, 9:44 a.m.
Created at: April 18, 2026, 4:29 a.m.