Triple

T17357874
Position Surface form Disambiguated ID Type / Status
Subject The Peg E421986 entity
Predicate hasName P744 FINISHED
Object The Peg NE ONNED1

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: The Peg | Statement: [The Peg, hasName, The Peg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Peg
Context triple: [The Peg, hasName, The Peg]
  • A. The Peg chosen
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • B. The Square Peg
    The Square Peg is a 1958 British comedy film starring Norman Wisdom as a road repairman who is mistaken for a top German general during World War II.
  • C. The Rag
    The Rag is the informal name of the Army and Navy Club, a historic private members’ club in London traditionally associated with British military officers.
  • D. The Pocket
    The Pocket is a small rural locality in the Byron Shire region of northern New South Wales, Australia, known for its lush hinterland setting near the coast.
  • E. The Pet
    The Pet is a painting by Pre-Raphaelite artist Walter Deverell, reflecting the movement’s characteristic attention to vivid detail and romanticized subject matter.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4a37788190b330b7207aa424b6 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955e4cb481909e3193439bb85cd8 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.