Triple

T1662482
Position Surface form Disambiguated ID Type / Status
Subject Paul Baran E35939 entity
Predicate familyName P18 FINISHED
Object Baran
Baran is a surname most notably associated with Paul Baran, a pioneering engineer of packet-switched networks and early internet technology.
 E187377 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: Baran | Statement: [Paul Baran, familyName, Baran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baran
Context triple: [Paul Baran, familyName, Baran]
  • A. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • B. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • C. Zabana
    Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
  • D. Bisher Bashi
    Bisher Bashi is a renowned Bengali poetry collection by Kazi Nazrul Islam, noted for its intense emotional expression and revolutionary themes.
  • E. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • 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: Baran
Triple: [Paul Baran, familyName, Baran]
Generated description
Baran is a surname most notably associated with Paul Baran, a pioneering engineer of packet-switched networks and early internet technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baran
Target entity description: Baran is a surname most notably associated with Paul Baran, a pioneering engineer of packet-switched networks and early internet technology.
  • A. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • B. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • C. Zabana
    Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
  • D. Bisher Bashi
    Bisher Bashi is a renowned Bengali poetry collection by Kazi Nazrul Islam, noted for its intense emotional expression and revolutionary themes.
  • E. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90ab3bd7081908d15d772b10aebbe completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad682d968081909494920f3a7ea3af completed March 8, 2026, 12:14 p.m.
NEDg Description generation batch_69ad69017e448190b337337431c6f797 completed March 8, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_69ad6966c3108190bf2519f698dd3903 completed March 8, 2026, 12:19 p.m.
Created at: March 4, 2026, 7:29 p.m.