Triple

T3625027
Position Surface form Disambiguated ID Type / Status
Subject Ira Hirschmann E76816 entity
Predicate familyName P18 FINISHED
Object Hirschmann
Hirschmann is a surname of German origin borne by various notable individuals across fields such as diplomacy, engineering, and academia.
E372655 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: Hirschmann | Statement: [Ira Hirschmann, familyName, Hirschmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hirschmann
Context triple: [Ira Hirschmann, familyName, Hirschmann]
  • A. Arista Nashville
    Arista Nashville is a country music record label based in Nashville, Tennessee, known for signing and promoting prominent country artists.
  • B. Tandberg
    Tandberg is a Norwegian company best known for its video conferencing and telepresence solutions, which became part of Cisco Systems after its acquisition.
  • C. Arista Networks
    Arista Networks is a cloud networking company known for its high-performance data center switches and software-driven network solutions.
  • D. Siemens Avanto
    Siemens Avanto is a family of light rail and tram-train vehicles developed by Siemens for urban and regional public transport systems.
  • E. Juniper Networks
    Juniper Networks is a multinational networking and cybersecurity company known for its high-performance routers, switches, and related infrastructure solutions for service providers and enterprises.
  • 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: Hirschmann
Triple: [Ira Hirschmann, familyName, Hirschmann]
Generated description
Hirschmann is a surname of German origin borne by various notable individuals across fields such as diplomacy, engineering, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hirschmann
Target entity description: Hirschmann is a surname of German origin borne by various notable individuals across fields such as diplomacy, engineering, and academia.
  • A. Arista Nashville
    Arista Nashville is a country music record label based in Nashville, Tennessee, known for signing and promoting prominent country artists.
  • B. Tandberg
    Tandberg is a Norwegian company best known for its video conferencing and telepresence solutions, which became part of Cisco Systems after its acquisition.
  • C. Arista Networks
    Arista Networks is a cloud networking company known for its high-performance data center switches and software-driven network solutions.
  • D. Siemens Avanto
    Siemens Avanto is a family of light rail and tram-train vehicles developed by Siemens for urban and regional public transport systems.
  • E. Juniper Networks
    Juniper Networks is a multinational networking and cybersecurity company known for its high-performance routers, switches, and related infrastructure solutions for service providers and enterprises.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2dae7a48190809d4455b2349aaa completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4332260cc8190964a15bfee0a3b61 completed March 13, 2026, 3:54 p.m.
NEDg Description generation batch_69b435af0f688190ac82dccd487747af completed March 13, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69b43620aee48190953a413ece0d51fa completed March 13, 2026, 4:06 p.m.
Created at: March 8, 2026, 3:23 p.m.