Triple

T3530150
Position Surface form Disambiguated ID Type / Status
Subject Johnston McCulley E74638 entity
Predicate wroteFor P1996 FINISHED
Object Argosy E45663 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: Argosy | Statement: [Johnston McCulley, wroteFor, Argosy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argosy
Context triple: [Johnston McCulley, wroteFor, Argosy]
  • A. Argosy chosen
    Argosy is a British pulp magazine best known for publishing adventure and genre fiction during the early to mid-20th century.
  • B. Whydah
    Whydah was a prominent West African coastal port city that became a major center for the Atlantic slave trade during the era of the Kingdom of Dahomey.
  • C. Argos
    Argos is one of the oldest continuously inhabited cities in Greece, located in the Peloponnese and historically significant as a major center of ancient Greek civilization.
  • D. Argos
    Argos is a major UK-based catalogue and online retailer known for offering a wide range of household goods, electronics, toys, and more through both physical stores and digital channels.
  • E. Argos
    Argos is the common nickname for the Toronto Argonauts, a professional Canadian Football League team based in Toronto.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc9764a881908aa8d25dc9adf59e completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e97536881908d5ed3dfe602c9e0 completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.