Triple

T1789454
Position Surface form Disambiguated ID Type / Status
Subject Commodore Amiga 2000 E39461 entity
Predicate soundChip P31522 FINISHED
Object Paula E230344 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: Paula | Statement: [Commodore Amiga 2000, soundChip, Paula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paula
Context triple: [Commodore Amiga 2000, soundChip, Paula]
  • A. Paula
    Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
  • B. Paula chosen
    Paula is the custom audio and I/O coprocessor used in Commodore Amiga computers, responsible for sound generation and handling certain input/output functions.
  • C. Patricia
    Patricia is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • D. Sandra
    Sandra is the given name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
  • E. Penelope Alvarez
    Penelope Alvarez is the Cuban-American single mother and military veteran at the heart of the 2017 reboot of "One Day at a Time," navigating family life, mental health, and cultural identity with humor and resilience.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abaffee0f88190aa7a42ef4a4e2bd2 completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae516bbbf48190ae87ec3344da64d1 completed March 9, 2026, 4:49 a.m.
Created at: March 4, 2026, 7:32 p.m.