Triple

T18627559
Position Surface form Disambiguated ID Type / Status
Subject Magon E455322 entity
Predicate name P16 FINISHED
Object Magon NE NERFINISHED

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: Magon | Statement: [Magon, name, Magon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magon
Context triple: [Magon, name, Magon]
  • A. Magon chosen
    Magon was a lesser-known offspring of the Hellenistic ruler Ptolemy III Euergetes of the Ptolemaic dynasty in ancient Egypt.
  • B. Altamirano
    Altamirano is a municipality in the Mexican state of Chiapas known for its significant Indigenous Tzeltal population and role in regional social and political movements.
  • C. Emiliano Zapata
    Emiliano Zapata was a leading figure of the Mexican Revolution, renowned for championing agrarian reform and peasant rights in southern Mexico.
  • D. Carlos Zapata
    Carlos Zapata is a Venezuelan-American architect known for his innovative, sculptural skyscraper designs and prominent international projects.
  • E. Julio Zapata
    Julio Zapata is one of the two hedonistic teenage protagonists in the Mexican road movie "Y Tu Mamá También," whose journey explores themes of friendship, class, and sexual awakening.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f0581f0819083c1aba9fb85f6a7 completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.