Triple

T11556807
Position Surface form Disambiguated ID Type / Status
Subject On Anger E274037 entity
Predicate dedicatedTo P500 FINISHED
Object Novatus E932953 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: Novatus | Statement: [On Anger, dedicatedTo, Novatus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novatus
Context triple: [On Anger, dedicatedTo, Novatus]
  • A. Novatus chosen
    Novatus was an early Christian figure known primarily as the addressee of Seneca the Younger's moral-philosophical work "De Ira" ("On Anger").
  • B. Hospira
    Hospira is a pharmaceutical and medical device company known for its injectable drugs, infusion technologies, and biosimilars, operating as a subsidiary of Pfizer.
  • C. Hospental
    Hospental is a small historic village in the Swiss Alps, known for its strategic location at the crossroads of major mountain passes and its traditional alpine architecture.
  • D. Stanwell
    Stanwell is a village in the borough of Spelthorne in Surrey, England, located near Heathrow Airport on the western edge of Greater London.
  • E. Madison Industries
    Madison Industries is a privately held industrial conglomerate based in Chicago, known for acquiring and growing a diverse portfolio of manufacturing and engineering businesses across sectors such as health, safety, and infrastructure.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a86be308190973fea5d7db8ba9d completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713a7e16481908faabcafe11daf37 completed April 21, 2026, 6:05 a.m.
Created at: April 8, 2026, 9:37 p.m.