Triple

T7037630
Position Surface form Disambiguated ID Type / Status
Subject Philip Barton Key II E163423 entity
Predicate killedBy P4646 FINISHED
Object Daniel Sickles E183240 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: Daniel Sickles | Statement: [Philip Barton Key II, killedBy, Daniel Sickles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Sickles
Context triple: [Philip Barton Key II, killedBy, Daniel Sickles]
  • A. Daniel Sickles chosen
    Daniel Sickles was a controversial Union general and politician best known for his unauthorized and disastrous advance at the Battle of Gettysburg during the American Civil War.
  • B. Alexander McDowell McCook
    Alexander McDowell McCook was a Union Army general during the American Civil War and a member of the prominent "Fighting McCook" family of military officers.
  • C. William Wigram
    William Wigram was a 19th-century mountaineer known for participating in the first ascent of the Swiss Alpine peak Dent Blanche.
  • D. George W. Gage
    George W. Gage was a prominent 19th-century Chicago businessman and civic leader after whom Gage Park in Chicago is named.
  • E. Benjamin Ely
    Benjamin Ely was an influential figure whose ideas and work helped shape the thought and career of educator and women's education pioneer Sophia Smith.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e221a7988190b6b69782a275abb7 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775a6e1a08190af7d121cb854118e completed March 28, 2026, 6:31 a.m.
Created at: March 27, 2026, 2:36 p.m.