Triple

T10732232
Position Surface form Disambiguated ID Type / Status
Subject Anthony Mamo E253100 entity
Predicate familyName P18 FINISHED
Object Mamo
Mamo is a Maltese surname most notably borne by Sir Anthony Mamo, the first President of Malta.
 E883449 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: Mamo | Statement: [Anthony Mamo, familyName, Mamo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mamo
Context triple: [Anthony Mamo, familyName, Mamo]
  • A. Mamu
    Mamu is a notable Odia novel by Fakir Mohan Senapati that satirically portrays social and political life in colonial Odisha.
  • B. Mameyal
    Mameyal is a coastal barrio (neighborhood) of the municipality of Dorado in Puerto Rico, known for its seaside setting and local community character.
  • C. “Mamo”
    “Mamo” is the song performed by Anastasia Prikhodko that represented the host nation Russia at the Eurovision Song Contest 2009.
  • D. Ménaka
    Ménaka is a town in eastern Mali that serves as an important administrative and trading center in the Sahel region.
  • E. Mamati
    Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
  • 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: Mamo
Triple: [Anthony Mamo, familyName, Mamo]
Generated description
Mamo is a Maltese surname most notably borne by Sir Anthony Mamo, the first President of Malta.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mamo
Target entity description: Mamo is a Maltese surname most notably borne by Sir Anthony Mamo, the first President of Malta.
  • A. Mamu
    Mamu is a notable Odia novel by Fakir Mohan Senapati that satirically portrays social and political life in colonial Odisha.
  • B. Mameyal
    Mameyal is a coastal barrio (neighborhood) of the municipality of Dorado in Puerto Rico, known for its seaside setting and local community character.
  • C. “Mamo”
    “Mamo” is the song performed by Anastasia Prikhodko that represented the host nation Russia at the Eurovision Song Contest 2009.
  • D. Ménaka
    Ménaka is a town in eastern Mali that serves as an important administrative and trading center in the Sahel region.
  • E. Mamati
    Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d7101f35888190b88662372a7d100d completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22a97fec8190bb97f68353c2144e completed April 14, 2026, 11:19 a.m.
NEDg Description generation batch_69de271ca4f081908d78a20b25ebd25c completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2ccee0cc8190acd24d5c225f7cde completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:14 p.m.