Triple

T21011411
Position Surface form Disambiguated ID Type / Status
Subject 1997 Irish presidential election E517557 entity
Predicate candidate P1223 FINISHED
Object Mary Banotti
Mary Banotti is an Irish former politician and Member of the European Parliament known for her prominent role in Fine Gael and her high-profile candidacy in the 1997 Irish presidential election.
E1791738 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: Mary Banotti | Statement: [1997 Irish presidential election, candidate, Mary Banotti]
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: Mary Banotti
Triple: [1997 Irish presidential election, candidate, Mary Banotti]
Generated description
Mary Banotti is an Irish former politician and Member of the European Parliament known for her prominent role in Fine Gael and her high-profile candidacy in the 1997 Irish presidential election.

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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc3fdf3c8190abd3db7f5eb503a0 completed April 21, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12f6efe81c8190ac2479b0a29315d1 completed May 24, 2026, 1:02 p.m.
NEDg Description generation batch_6a12fb496c188190abbbcd5200aa5457 completed May 24, 2026, 1:21 p.m.
NED2 Entity disambiguation (via description) batch_6a12fbc87d94819097dbb89898b6ba03 completed May 24, 2026, 1:23 p.m.
Created at: April 16, 2026, 1:53 p.m.