Triple

T11396248
Position Surface form Disambiguated ID Type / Status
Subject Gulf+Western E269979 entity
Predicate owned P347 FINISHED
Object Conrac
Conrac was a company best known for manufacturing computer terminals and display systems, particularly for industrial and aviation applications.
E923517 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: Conrac | Statement: [Gulf+Western, owned, Conrac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conrac
Context triple: [Gulf+Western, owned, Conrac]
  • A. Konerko
    Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
  • B. Nolcorp
    Nolcorp is a powerful fictional tech corporation in the TV series "Revenge," founded and led by the brilliant hacker-entrepreneur Nolan Ross.
  • C. Branobel
    Branobel was a major late-19th-century oil company based in the Russian Empire, founded by members of the Nobel family and influential in the early global petroleum industry.
  • D. Sogecine
    Sogecine is a Spanish film production company known for backing acclaimed auteur-driven cinema, including works by director Alejandro Amenábar.
  • E. Kroll
    Kroll is a surname most notably associated with Colin Kroll, the American entrepreneur and co-founder of Vine and HQ Trivia.
  • 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: Conrac
Triple: [Gulf+Western, owned, Conrac]
Generated description
Conrac was a company best known for manufacturing computer terminals and display systems, particularly for industrial and aviation applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Conrac
Target entity description: Conrac was a company best known for manufacturing computer terminals and display systems, particularly for industrial and aviation applications.
  • A. Konerko
    Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
  • B. Nolcorp
    Nolcorp is a powerful fictional tech corporation in the TV series "Revenge," founded and led by the brilliant hacker-entrepreneur Nolan Ross.
  • C. Branobel
    Branobel was a major late-19th-century oil company based in the Russian Empire, founded by members of the Nobel family and influential in the early global petroleum industry.
  • D. Sogecine
    Sogecine is a Spanish film production company known for backing acclaimed auteur-driven cinema, including works by director Alejandro Amenábar.
  • E. Kroll
    Kroll is a surname most notably associated with Colin Kroll, the American entrepreneur and co-founder of Vine and HQ Trivia.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80019d3d48190a2f473deb6eae33a completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58cd74280819092f8c420630f4889 completed April 20, 2026, 2:17 a.m.
NEDg Description generation batch_69e59774e6648190a38b2515a83c2e0c completed April 20, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_69e5a3abf24481908fb71f4ef6b13532 completed April 20, 2026, 3:55 a.m.
Created at: April 8, 2026, 9:34 p.m.