Triple

T1787835
Position Surface form Disambiguated ID Type / Status
Subject Ava DuVernay E39428 entity
Predicate notableWork P4 FINISHED
Object 13th E661 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: 13th | Statement: [Ava DuVernay, notableWork, 13th]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 13th
Context triple: [Ava DuVernay, notableWork, 13th]
  • A. Thirteenth Amendment
    The Thirteenth Amendment is a significant change to the Constitution of Pakistan that curtailed presidential powers and strengthened the authority of the prime minister and parliament.
  • B. Thirteenth Amendment chosen
    The Thirteenth Amendment is a landmark provision to the United States Constitution that formally abolished slavery and involuntary servitude throughout the country, except as punishment for a crime.
  • C. Selma
    Selma is a small agricultural city in California’s San Joaquin Valley, known for its raisin production and location within Fresno County.
  • D. Selma
    Selma is a historic city in central Alabama best known as a key site of the American civil rights movement, particularly the 1965 Selma-to-Montgomery marches.
  • E. Revolution
    Revolution is a steel shuttle roller coaster at Blackpool Pleasure Beach in England, known for featuring a single vertical loop traversed both forwards and backwards.
  • 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_69aa650fd3448190a6a2c979db982cae completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9a8a69c8190885bf06a06d3869f completed March 8, 2026, 4:54 p.m.
Created at: March 4, 2026, 7:32 p.m.