Triple

T20066259
Position Surface form Disambiguated ID Type / Status
Subject Dodi Fayed E499614 entity
Predicate employer P7 FINISHED
Object Allied Stars Ltd
Allied Stars Ltd was a British film production company owned by Egyptian businessman Mohamed Al-Fayed and associated with his son Dodi Fayed, involved in financing and producing several notable films.
 E1410868 NE FINISHED

How this triple was built (3 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.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Allied Stars Ltd
Context triple: [Dodi Fayed, employer, Allied Stars Ltd]
  • A. United Company
    United Company was a prominent late 17th-century London theatre company formed by the merger of the King’s Company and the Duke’s Company, active during the Restoration period.
  • B. Obayashi Corporation
    Obayashi Corporation is a major Japanese construction and engineering company known for its involvement in large-scale infrastructure and building projects worldwide.
  • C. Arakwal Corporation
    Arakwal Corporation is an Aboriginal-owned organization representing the interests, land rights, and cultural heritage of the Arakwal people in Australia.
  • D. Taisei Corporation
    Taisei Corporation is a major Japanese construction and civil engineering company known for leading large-scale infrastructure and landmark building projects in Japan and abroad.
  • E. Ryujin Industries
    Ryujin Industries is a powerful, high-tech corporate faction in Starfield known for its sleek cyberpunk aesthetic, corporate espionage, and morally ambiguous business practices.
  • 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: Allied Stars Ltd
Triple: [Dodi Fayed, employer, Allied Stars Ltd]
Generated description
Allied Stars Ltd was a British film production company owned by Egyptian businessman Mohamed Al-Fayed and associated with his son Dodi Fayed, involved in financing and producing several notable films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Allied Stars Ltd
Target entity description: Allied Stars Ltd was a British film production company owned by Egyptian businessman Mohamed Al-Fayed and associated with his son Dodi Fayed, involved in financing and producing several notable films.
  • A. United Company
    United Company was a prominent late 17th-century London theatre company formed by the merger of the King’s Company and the Duke’s Company, active during the Restoration period.
  • B. Obayashi Corporation
    Obayashi Corporation is a major Japanese construction and engineering company known for its involvement in large-scale infrastructure and building projects worldwide.
  • C. Arakwal Corporation
    Arakwal Corporation is an Aboriginal-owned organization representing the interests, land rights, and cultural heritage of the Arakwal people in Australia.
  • D. Taisei Corporation
    Taisei Corporation is a major Japanese construction and civil engineering company known for leading large-scale infrastructure and landmark building projects in Japan and abroad.
  • E. Ryujin Industries
    Ryujin Industries is a powerful, high-tech corporate faction in Starfield known for its sleek cyberpunk aesthetic, corporate espionage, and morally ambiguous business practices.
  • F. None of above. chosen

Provenance (4 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f38a7d88190ab158529cea64f87 completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a0823b9f6b081908b71f1061446e31e completed May 16, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_6a08247ad2b0819095315aec25816448 completed May 16, 2026, 8:02 a.m.
Created at: April 11, 2026, 3:39 p.m.