Triple

T5846400
Position Surface form Disambiguated ID Type / Status
Subject Siege of Bexar E129722 entity
Predicate commander P1061 FINISHED
Object Edward Burleson E247896 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: Edward Burleson | Statement: [Siege of Bexar, commander, Edward Burleson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Burleson
Context triple: [Siege of Bexar, commander, Edward Burleson]
  • A. Edward Burleson chosen
    Edward Burleson was a prominent Texian military and political leader of the Texas Revolution who later served as vice president of the Republic of Texas.
  • B. Boyd Tinsley
    Boyd Tinsley is an American violinist and composer best known as a longtime member of the Dave Matthews Band.
  • C. Joe L. Barton
    Joe L. Barton is an American Republican politician who served for decades in the U.S. House of Representatives from Texas and was known for his influential role on energy policy.
  • D. Robert Folsom
    Robert Folsom was an American businessman and civic leader who served as mayor of Dallas, Texas, during the late 1970s and early 1980s, overseeing significant urban development and growth.
  • E. William Ragsdale
    William Ragsdale is an American actor best known for his lead role in the 1985 horror-comedy film "Fright Night" and its sequel.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0351157508190a78d2a7141e0cee8 completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e399f2ec81908e2e38b9fbf8b56a completed March 27, 2026, 1:55 a.m.
Created at: March 22, 2026, 3:55 p.m.