Triple

T5598569
Position Surface form Disambiguated ID Type / Status
Subject Emmanuel E147057 entity
Predicate hasShortForm P43 FINISHED
Object Manuel E450874 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: Manuel | Statement: [Emmanuel, hasShortForm, Manuel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manuel
Context triple: [Emmanuel, hasShortForm, Manuel]
  • A. Manuel chosen
    Manuel is a masculine given name of Hebrew origin, commonly used in Spanish- and Portuguese-speaking countries and derived from "Emmanuel," meaning "God is with us."
  • B. Manuel
    Manuel is the given name of Manny Ramirez, the former Major League Baseball star known for his powerful hitting and tenure with the Boston Red Sox.
  • C. Manuel
    Manuel is the hapless, linguistically challenged Spanish waiter from the British sitcom "Fawlty Towers," known for his comedic misunderstandings and clashes with Basil Fawlty.
  • D. Manuel
    Manuel was the given name of Manuel II, the last King of Portugal who reigned in the early 20th century.
  • E. Francisco
    Francisco is a masculine given name of Spanish and Portuguese origin, equivalent to Francis in English.
  • 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_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020d82870819087f9591b5a1021ce completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0918b088190b0fcd0ab02091eb2 completed March 23, 2026, 3:16 a.m.
Created at: March 22, 2026, 3:38 p.m.