Triple

T28662810
Position Surface form Disambiguated ID Type / Status
Subject Mark Antony’s funeral oration E725510 entity
Predicate relatedHistoricalEvent P115640 FINISHED
Object historical funeral of Julius Caesar LITERAL 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: historical funeral of Julius Caesar | Statement: [Mark Antony’s funeral oration, relatedHistoricalEvent, historical funeral of Julius Caesar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedHistoricalEvent
Context triple: [Mark Antony’s funeral oration, relatedHistoricalEvent, historical funeral of Julius Caesar]
  • A. historicalEventDescribedAs
    Indicates that a historical event is characterized or portrayed using a particular description, label, or narrative.
  • B. hasHistoricalEvent
    Indicates that a historical event occurred in, is associated with, or is relevant to a particular entity.
  • C. historicalEventsDescribed chosen
    Indicates that one entity (such as a document, text, or account) describes or recounts the historical events associated with another entity.
  • D. associatedEpicEvent
    Indicates that one entity is linked or connected to a particular epic event in a relevant or meaningful way.
  • E. historicEventAlsoKnownAs
    Indicates that a historic event is referred to by an alternative name or alias.
  • F. None of above.

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_69f01d84f5f0819087ab5e6143b14ed7 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_6a0045a7b4c081908e4dedabda7cf790 completed May 10, 2026, 8:45 a.m.
PD Predicate disambiguation batch_6a0042b148a48190974b173f352e4b7f completed May 10, 2026, 8:32 a.m.
Created at: April 28, 2026, 4:59 a.m.