Triple

T1133297
Position Surface form Disambiguated ID Type / Status
Subject Alfredo Keil E23080 entity
Predicate familyName P18 FINISHED
Object Keil
Keil is a German-origin surname borne by various notable individuals, including Portuguese composer Alfredo Keil.
 E130937 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: Keil | Statement: [Alfredo Keil, familyName, Keil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Keil
Context triple: [Alfredo Keil, familyName, Keil]
  • A. Proteus
    Proteus is the nickname of Charles Proteus Steinmetz, a pioneering German-American electrical engineer and mathematician renowned for his foundational work in alternating current (AC) power systems.
  • B. Proteus
    Proteus is an experimental high-altitude, long-endurance aircraft designed by Scaled Composites for telecommunications, reconnaissance, and research missions.
  • C. Proteus
    Proteus is one of Neptune’s largest irregularly shaped moons, known for its dark surface and heavily cratered, ancient terrain.
  • D. Borland
    Borland was a prominent software company best known for its influential development tools and programming environments, particularly during the 1980s and 1990s.
  • E. Embarcadero
    Embarcadero is a historic waterfront district in San Francisco known for its piers, ferry terminal, and scenic promenade along the bay.
  • 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: Keil
Triple: [Alfredo Keil, familyName, Keil]
Generated description
Keil is a German-origin surname borne by various notable individuals, including Portuguese composer Alfredo Keil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Keil
Target entity description: Keil is a German-origin surname borne by various notable individuals, including Portuguese composer Alfredo Keil.
  • A. Proteus
    Proteus is the nickname of Charles Proteus Steinmetz, a pioneering German-American electrical engineer and mathematician renowned for his foundational work in alternating current (AC) power systems.
  • B. Proteus
    Proteus is an experimental high-altitude, long-endurance aircraft designed by Scaled Composites for telecommunications, reconnaissance, and research missions.
  • C. Proteus
    Proteus is one of Neptune’s largest irregularly shaped moons, known for its dark surface and heavily cratered, ancient terrain.
  • D. Borland
    Borland was a prominent software company best known for its influential development tools and programming environments, particularly during the 1980s and 1990s.
  • E. Embarcadero
    Embarcadero is a historic waterfront district in San Francisco known for its piers, ferry terminal, and scenic promenade along the bay.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bbfe68008190b2307b8107f06a08 completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59ac2ea881908b9559ff9d47077a completed March 7, 2026, 5 p.m.
NEDg Description generation batch_69ac5a38ebb0819091cb81e23770ae50 completed March 7, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ac5aa2ad188190b4c6a29e3c2c8d79 completed March 7, 2026, 5:04 p.m.
Created at: March 1, 2026, 7:44 p.m.