Triple

T18704295
Position Surface form Disambiguated ID Type / Status
Subject Almquist shell E457331 entity
Predicate alternativeName P39 FINISHED
Object ash
ash is a lightweight Unix command-line shell designed for efficiency and often used in embedded or resource-constrained systems.
 E1338322 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: ash | Statement: [Almquist shell, alternativeName, ash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ash
Context triple: [Almquist shell, alternativeName, ash]
  • A. asha
    Asha is the central Zoroastrian concept of truth, order, and cosmic righteousness that governs both the moral and natural worlds.
  • B. ASH
    ASH is the National Rail station code for Ashington railway station in Northumberland, England.
  • C. ASH
    ASH is the leading professional organization in the United States dedicated to the study and treatment of blood disorders and the advancement of hematology research and education.
  • D. ASH
    ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
  • E. ack
    ack is a command-line search tool for programmers that improves on grep with language-aware searching, sensible defaults, and features tailored for codebases.
  • 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: ash
Triple: [Almquist shell, alternativeName, ash]
Generated description
ash is a lightweight Unix command-line shell designed for efficiency and often used in embedded or resource-constrained systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ash
Target entity description: ash is a lightweight Unix command-line shell designed for efficiency and often used in embedded or resource-constrained systems.
  • A. asha
    Asha is the central Zoroastrian concept of truth, order, and cosmic righteousness that governs both the moral and natural worlds.
  • B. ASH
    ASH is the National Rail station code for Ashington railway station in Northumberland, England.
  • C. ASH
    ASH is the leading professional organization in the United States dedicated to the study and treatment of blood disorders and the advancement of hematology research and education.
  • D. ASH
    ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
  • E. ack
    ack is a command-line search tool for programmers that improves on grep with language-aware searching, sensible defaults, and features tailored for codebases.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671597ac819093dbb53553130f1e completed April 19, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052b38ab548190b46ecda128e93c9b completed May 14, 2026, 1:54 a.m.
NEDg Description generation batch_6a052c9486908190a5cdb60f7cb65888 completed May 14, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_6a052cec9c788190a0c9396b35dd95c0 completed May 14, 2026, 2:01 a.m.
Created at: April 10, 2026, 11:49 a.m.