Triple

T12139109
Position Surface form Disambiguated ID Type / Status
Subject Battle of Pell's Point E289136 entity
Predicate commander P1061 FINISHED
Object Johann Rall E41144 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: Johann Rall | Statement: [Battle of Pell's Point, commander, Johann Rall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johann Rall
Context triple: [Battle of Pell's Point, commander, Johann Rall]
  • A. Johann Rall chosen
    Johann Rall was a Hessian colonel in the British service during the American Revolutionary War, best known for being mortally wounded while leading his troops in the Battle of Trenton in 1776.
  • B. Wilhelm Bittrich
    Wilhelm Bittrich was a German Waffen-SS general and panzer corps commander during World War II, noted for his role in major battles on both the Eastern and Western Fronts.
  • C. Hans Ernst Karl von Zieten
    Hans Ernst Karl von Zieten was a Prussian general best known for commanding I Corps in the Napoleonic Wars, including at the Battle of Waterloo.
  • D. Josef Harpe
    Josef Harpe was a German Wehrmacht general during World War II who commanded Army Group A on the Eastern Front.
  • E. Colonel Ehrhardt
    Colonel Ehrhardt is a bumbling, self-important Nazi officer who serves as a key comic antagonist in the World War II satire film "To Be or Not to Be."
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158eef48819083bdce283a363414 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f690ae408190966bb4fe8feaa7d2 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.