Triple

T21149830
Position Surface form Disambiguated ID Type / Status
Subject Sir George E521158 entity
Predicate enemy P4567 FINISHED
Object Lodac 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: Lodac | Statement: [Sir George, enemy, Lodac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lodac
Context triple: [Sir George, enemy, Lodac]
  • A. Lodac chosen
    Lodac is the powerful evil sorcerer and primary antagonist in the 1962 fantasy film "The Magic Sword."
  • B. Loxa
    Loxa is the historical name of the Ecuadorian city now known as Loja, an important cultural and musical center in the country's southern Andes.
  • C. Lobata
    Lobata is an administrative district on the island of São Tomé in the central African island nation of São Tomé and Príncipe.
  • D. Laiolo
    Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
  • E. Lodoselo
    Lodoselo is a small village in the municipality of Sarreaus, in the province of Ourense, Galicia, Spain.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72400911c8190978e88138a9bfaff completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:58 p.m.