Triple

T4763893
Position Surface form Disambiguated ID Type / Status
Subject Gentleman Jim E105761 entity
Predicate musicBy P1952 FINISHED
Object Heinz Roemheld
Heinz Roemheld was an American composer and pianist best known for his prolific work scoring Hollywood films during the 1930s and 1940s.
E467716 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: Heinz Roemheld | Statement: [Gentleman Jim, musicBy, Heinz Roemheld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heinz Roemheld
Context triple: [Gentleman Jim, musicBy, Heinz Roemheld]
  • A. Gerhard Kallmann
    Gerhard Kallmann was a German-born American architect best known for co-designing the Brutalist-style Boston City Hall.
  • B. Wolfgang Ehrlich
    Wolfgang Ehrlich is a notable individual who shares the Ehrlich surname, recognized enough to be specifically cited as a bearer of the name.
  • C. Heinz Ewald
    Heinz Ewald was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
  • D. Eckhard Pfeiffer
    Eckhard Pfeiffer is a German-American businessman best known for serving as CEO of Compaq Computer Corporation during its rapid expansion in the 1990s.
  • E. Leonhard Romeis
    Leonhard Romeis was a German architect known for his historicist designs in the late 19th and early 20th centuries, particularly in Munich.
  • 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: Heinz Roemheld
Triple: [Gentleman Jim, musicBy, Heinz Roemheld]
Generated description
Heinz Roemheld was an American composer and pianist best known for his prolific work scoring Hollywood films during the 1930s and 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Heinz Roemheld
Target entity description: Heinz Roemheld was an American composer and pianist best known for his prolific work scoring Hollywood films during the 1930s and 1940s.
  • A. Gerhard Kallmann
    Gerhard Kallmann was a German-born American architect best known for co-designing the Brutalist-style Boston City Hall.
  • B. Wolfgang Ehrlich
    Wolfgang Ehrlich is a notable individual who shares the Ehrlich surname, recognized enough to be specifically cited as a bearer of the name.
  • C. Heinz Ewald
    Heinz Ewald was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
  • D. Eckhard Pfeiffer
    Eckhard Pfeiffer is a German-American businessman best known for serving as CEO of Compaq Computer Corporation during its rapid expansion in the 1990s.
  • E. Leonhard Romeis
    Leonhard Romeis was a German architect known for his historicist designs in the late 19th and early 20th centuries, particularly in Munich.
  • 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6530f0648190b76db9964471cfeb completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a87741081909380c51ba4efed92 completed March 21, 2026, 6:28 a.m.
NEDg Description generation batch_69be3d444b888190b2df7433502604ff completed March 21, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69be3dd31c648190bfdac15fb85cfec9 completed March 21, 2026, 6:42 a.m.
Created at: March 20, 2026, 1:20 p.m.