Triple

T350337
Position Surface form Disambiguated ID Type / Status
Subject Robert Langer E7427 entity
Predicate familyName P18 FINISHED
Object Langer
Langer is a surname most notably associated with Robert Langer, a pioneering American chemical engineer and prolific inventor in biotechnology and drug delivery.
 E44890 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: Langer | Statement: [Robert Langer, familyName, Langer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Langer
Context triple: [Robert Langer, familyName, Langer]
  • 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. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • C. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • D. Ernman
    Ernman is the surname of Swedish opera singer and environmental activist Malena Ernman.
  • E. Müller
    Müller is a common German surname, equivalent to "Miller" in English, historically associated with the occupation of operating a mill.
  • 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: Langer
Triple: [Robert Langer, familyName, Langer]
Generated description
Langer is a surname most notably associated with Robert Langer, a pioneering American chemical engineer and prolific inventor in biotechnology and drug delivery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Langer
Target entity description: Langer is a surname most notably associated with Robert Langer, a pioneering American chemical engineer and prolific inventor in biotechnology and drug delivery.
  • 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. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • C. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • D. Ernman
    Ernman is the surname of Swedish opera singer and environmental activist Malena Ernman.
  • E. Müller
    Müller is a common German surname, equivalent to "Miller" in English, historically associated with the occupation of operating a mill.
  • 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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eb1f028c819098fa6480b4ca5cf0 completed Feb. 28, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3dd33a50c8190846d19c24eb74039 completed March 1, 2026, 6:31 a.m.
NEDg Description generation batch_69a3ddca8d3c8190b5baafe999a26b58 completed March 1, 2026, 6:33 a.m.
NED2 Entity disambiguation (via description) batch_69a3de7f9b28819099cfe7c55a8168f0 completed March 1, 2026, 6:36 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.