Triple

T3636396
Position Surface form Disambiguated ID Type / Status
Subject LisaProject E77077 entity
Predicate contemporaryOf P6401 FINISHED
Object LisaTerminal E77078 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: LisaTerminal | Statement: [LisaProject, contemporaryOf, LisaTerminal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LisaTerminal
Context triple: [LisaProject, contemporaryOf, LisaTerminal]
  • A. LisaTerminal chosen
    LisaTerminal was a terminal emulation application for the Apple Lisa that allowed the computer to connect to and interact with remote mainframes and minicomputers.
  • B. Terminal
    Terminal is the built-in command-line interface application for macOS that allows users to interact with the operating system using text-based commands.
  • C. iTerm2
    iTerm2 is a powerful, feature-rich terminal emulator for macOS known for its advanced customization, split panes, and productivity-enhancing tools.
  • D. Terminal C
    Terminal C is a major passenger terminal at Newark Liberty International Airport, primarily serving United Airlines and offering extensive domestic and international flight operations.
  • E. Terminal C
    Terminal C is one of the main passenger terminals at Philadelphia International Airport, serving as a hub for airline check-in, security, boarding gates, and passenger amenities.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3278bb8819098bbeac023410111 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b488320c58819088f8cc677f675ec3 completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:24 p.m.