Triple

T1227713
Position Surface form Disambiguated ID Type / Status
Subject Dasgupta E26363 entity
Predicate component P35 FINISHED
Object Das
Das is a common Indian surname found across various regions and communities, often associated with Hindu and Bengali cultural backgrounds.
 E140368 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: Das | Statement: [Dasgupta, component, Das]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Das
Context triple: [Dasgupta, component, Das]
  • A. The Dam
    The Dam is the official name of the Oregon State Beavers football student section, known for its loud, energetic support at home games in Corvallis.
  • B. Dana
    Dana is a feminine given name commonly used in various cultures, including Czech, English, and Hebrew-speaking communities.
  • C. Dana
    Dana is a scientific work or authority that provides the formal description and classification of Antarctic krill.
  • D. Como
    Como is a historic city in northern Italy near the Swiss border, known for its scenic setting at the southern tip of Lake Como and its medieval architecture, including the Como Cathedral.
  • E. Albam
    Albam is a classical Hebrew letter-substitution cipher used in Jewish mystical and exegetical traditions as a variant of the Temurah system.
  • 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: Das
Triple: [Dasgupta, component, Das]
Generated description
Das is a common Indian surname found across various regions and communities, often associated with Hindu and Bengali cultural backgrounds.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Das
Target entity description: Das is a common Indian surname found across various regions and communities, often associated with Hindu and Bengali cultural backgrounds.
  • A. The Dam
    The Dam is the official name of the Oregon State Beavers football student section, known for its loud, energetic support at home games in Corvallis.
  • B. Dana
    Dana is a feminine given name commonly used in various cultures, including Czech, English, and Hebrew-speaking communities.
  • C. Dana
    Dana is a scientific work or authority that provides the formal description and classification of Antarctic krill.
  • D. Como
    Como is a historic city in northern Italy near the Swiss border, known for its scenic setting at the southern tip of Lake Como and its medieval architecture, including the Como Cathedral.
  • E. Albam
    Albam is a classical Hebrew letter-substitution cipher used in Jewish mystical and exegetical traditions as a variant of the Temurah system.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be3c5d4c819087f9e9e37204c3be completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a1242048190ba6ffcaacc4ca5d5 completed March 7, 2026, 8:26 p.m.
NEDg Description generation batch_69ac8a9d03c8819097cea548a31d866d completed March 7, 2026, 8:29 p.m.
NED2 Entity disambiguation (via description) batch_69ac8b041e188190ac9e1ce2c2728c94 completed March 7, 2026, 8:31 p.m.
Created at: March 1, 2026, 7:47 p.m.