Triple

T2543325
Position Surface form Disambiguated ID Type / Status
Subject Battle of Assaye E57837 entity
Predicate commander P1061 FINISHED
Object Pohlmann
Pohlmann was a European officer who became a senior commander in the Maratha army and led its forces against the British at the Battle of Assaye in 1803.
 E276326 NE FINISHED

How this triple was built (4 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: Pohlmann | Statement: [Battle of Assaye, commander, Pohlmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pohlmann
Context triple: [Battle of Assaye, commander, Pohlmann]
  • A. Hammann
    Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
  • B. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • C. Körner
    Körner is a German surname borne by various notable figures in fields such as literature, music, and politics.
  • D. Hartmann
    Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
  • E. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pohlmann
Triple: [Battle of Assaye, commander, Pohlmann]
Generated description
Pohlmann was a European officer who became a senior commander in the Maratha army and led its forces against the British at the Battle of Assaye in 1803.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pohlmann
Target entity description: Pohlmann was a European officer who became a senior commander in the Maratha army and led its forces against the British at the Battle of Assaye in 1803.
  • A. Hammann
    Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
  • B. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • C. Körner
    Körner is a German surname borne by various notable figures in fields such as literature, music, and politics.
  • D. Hartmann
    Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
  • E. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • F. None of above. chosen

Provenance (5 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2bf6cac819083a9ab9d041d8641 completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d073d2c81908c769a99b0942089 completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5d7576fc8190b83007e403d21df6 completed March 9, 2026, 11:53 p.m.
NED2 Entity disambiguation (via description) batch_69af5debc9288190b160305107137435 completed March 9, 2026, 11:55 p.m.
Created at: March 6, 2026, 9:47 p.m.