Triple

T17065680
Position Surface form Disambiguated ID Type / Status
Subject Stephen Lang E414080 entity
Predicate notableWork P4 FINISHED
Object Gettysburg E34273 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: Gettysburg | Statement: [Stephen Lang, notableWork, Gettysburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gettysburg
Context triple: [Stephen Lang, notableWork, Gettysburg]
  • A. Gettysburg
    Gettysburg is a historic Pennsylvania town best known as the site of the pivotal 1863 Civil War battle and Abraham Lincoln’s Gettysburg Address.
  • B. Battle of Gettysburg chosen
    The Battle of Gettysburg was a pivotal three-day Civil War clash in 1863 that marked a turning point in favor of the Union and became one of the conflict’s bloodiest and most famous engagements.
  • C. Sharpsburg
    Sharpsburg is a small town in North Carolina known for its residential character and location within the Rocky Mount metropolitan area.
  • D. Sharpsburg
    Sharpsburg is a small town in Coweta County, Georgia, known for its quiet residential character within the Atlanta metropolitan area.
  • E. Shiloh
    Shiloh is an ancient Israelite religious center in the hill country of Ephraim, historically significant as an early sanctuary and gathering place for the tribes of Israel.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db806de48190a9ce68b40fc77a74 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01234e9a94819094618ba43b7d22b4 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.