Triple

T5397559
Position Surface form Disambiguated ID Type / Status
Subject Ezra Pound E120693 entity
Predicate notableWork P4 FINISHED
Object Ripostes E120697 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: Ripostes | Statement: [Ezra Pound, notableWork, Ripostes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ripostes
Context triple: [Ezra Pound, notableWork, Ripostes]
  • A. Ripostes chosen
    Ripostes is a 1912 poetry collection by Ezra Pound that marks a key transition toward his modernist style and the Imagist movement.
  • B. The Reversal
    The Reversal is a legal thriller novel by Michael Connelly featuring defense attorney Mickey Haller and LAPD detective Harry Bosch working together on a high-profile retrial case.
  • C. The Seven Oft-Repeated
    The Seven Oft-Repeated is a revered title for Surah Al-Fatiha, the opening chapter of the Qur’an that is recited in every unit of Muslim prayer.
  • D. Sparnacien
    Sparnacien is the French demonym for an inhabitant of the town of Épernay in the Champagne region.
  • E. Point Counter Point
    Point Counter Point is a 1928 modernist novel by Aldous Huxley that satirically portrays the intellectual and social life of the British upper class through a complex, multi-character narrative.
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87485d5c819096ae574b1badc9d5 completed March 20, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3379aae881909217c29aee856e5d completed March 22, 2026, 12:10 a.m.
Created at: March 20, 2026, 2:04 p.m.