Triple

T627859
Position Surface form Disambiguated ID Type / Status
Subject Paul R. Ehrlich E15858 entity
Predicate familyName P18 FINISHED
Object Ehrlich
Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
 E78710 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: Ehrlich | Statement: [Paul R. Ehrlich, familyName, Ehrlich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ehrlich
Context triple: [Paul R. Ehrlich, familyName, Ehrlich]
  • A. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • B. Peto
    Peto is a minor companion of Sir John Falstaff and Prince Hal in Shakespeare’s Henry IV plays, often depicted as a comic, roguish follower involved in their tavern escapades.
  • C. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • D. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • E. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • 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: Ehrlich
Triple: [Paul R. Ehrlich, familyName, Ehrlich]
Generated description
Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ehrlich
Target entity description: Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
  • A. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • B. Peto
    Peto is a minor companion of Sir John Falstaff and Prince Hal in Shakespeare’s Henry IV plays, often depicted as a comic, roguish follower involved in their tavern escapades.
  • C. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • D. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • E. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e59e2688190b3c18b17c5db1e2b completed March 1, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56938be6481909a8eba01f5d856c1 completed March 2, 2026, 10:40 a.m.
NEDg Description generation batch_69a569ec60a08190ad2f84dc20635621 completed March 2, 2026, 10:43 a.m.
NED2 Entity disambiguation (via description) batch_69a56a6d09cc8190959d8d2e7621041f completed March 2, 2026, 10:46 a.m.
Created at: March 1, 2026, 7:35 p.m.