Triple

T8460103
Position Surface form Disambiguated ID Type / Status
Subject Goldman E200018 entity
Predicate hasDerivation P909 FINISHED
Object Goldmann
Goldmann is a surname of German origin borne by various notable individuals across fields such as philosophy, publishing, and politics.
 E735341 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: Goldmann | Statement: [Goldman, hasDerivation, Goldmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Goldmann
Context triple: [Goldman, hasDerivation, Goldmann]
  • A. Goldner
    Goldner is a surname associated with individuals such as the Austrian-born American composer and conductor Ernest Gold.
  • B. Goldmark
    Goldmark was the official gold-backed currency of the German Empire from 1873 until the end of World War I.
  • C. Ehrenstein
    Ehrenstein is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
  • D. Goldone
    Goldone is a minor Italian watercourse that serves as a left-bank tributary of the Mincio River.
  • E. Goldstein
    Goldstein is a common Ashkenazi Jewish surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • 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: Goldmann
Triple: [Goldman, hasDerivation, Goldmann]
Generated description
Goldmann is a surname of German origin borne by various notable individuals across fields such as philosophy, publishing, and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Goldmann
Target entity description: Goldmann is a surname of German origin borne by various notable individuals across fields such as philosophy, publishing, and politics.
  • A. Goldner
    Goldner is a surname associated with individuals such as the Austrian-born American composer and conductor Ernest Gold.
  • B. Goldmark
    Goldmark was the official gold-backed currency of the German Empire from 1873 until the end of World War I.
  • C. Ehrenstein
    Ehrenstein is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
  • D. Goldone
    Goldone is a minor Italian watercourse that serves as a left-bank tributary of the Mincio River.
  • E. Goldstein
    Goldstein is a common Ashkenazi Jewish surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe49fca788190a8728ff74f4d26f5 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1df214ac8190b59daa88e3a930bc completed April 2, 2026, 7:42 a.m.
NEDg Description generation batch_69ce21c53298819080137c87ff487b50 completed April 2, 2026, 7:59 a.m.
NED2 Entity disambiguation (via description) batch_69ce23d6da1c8190a28bc895d737595e completed April 2, 2026, 8:07 a.m.
Created at: March 30, 2026, 6:10 p.m.