Triple

T1881311
Position Surface form Disambiguated ID Type / Status
Subject Colman Domingo E39857 entity
Predicate workOn P30363 FINISHED
Object Dot E44914 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: Dot | Statement: [Colman Domingo, workOn, Dot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dot
Context triple: [Colman Domingo, workOn, Dot]
  • A. DOT
    DOT is the commonly used acronym for the United States Department of Transportation, the federal agency responsible for national transportation policy and infrastructure.
  • B. Dot. chosen
    Dot. is a children's animated television series created by Randi Zuckerberg that follows a curious young girl using technology and imagination to explore the world around her.
  • C. Dot Complicated
    Dot Complicated is a book by Randi Zuckerberg that explores the impact of technology and social media on modern life and offers guidance on achieving a healthier digital balance.
  • D. .dm
    .dm is the country code top-level domain (ccTLD) assigned to the Caribbean island nation of Dominica for use in internet addresses.
  • E. DL
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0fb95b48190af5286662c8b9734 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeae631488190b5b4a8137112e568 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:34 p.m.