Triple

T4716808
Position Surface form Disambiguated ID Type / Status
Subject John Mara E104661 entity
Predicate hasSurname P18 FINISHED
Object Mara E65229 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: Mara | Statement: [John Mara, hasSurname, Mara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mara
Context triple: [John Mara, hasSurname, Mara]
  • A. Mara chosen
    Mara is a surname of Irish origin borne by various notable individuals in fields such as sports, entertainment, and politics.
  • B. Marella
    Marella is an Italian feminine given name, notably borne by Marella Agnelli, a prominent socialite, art collector, and style icon.
  • C. Shera
    Shera is the anthropomorphic tiger mascot created to represent and promote the 2010 Commonwealth Games held in Delhi, India.
  • D. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • E. Marisus
    Marisus is the historical Latin name for the Mureș River, a major waterway flowing through present-day Romania and Hungary.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd640a32ec8190850146957885c3cf completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39f7316c8190a6ecd65b707d3fbe completed March 21, 2026, 6:25 a.m.
Created at: March 20, 2026, 1:18 p.m.