Triple

T8304966
Position Surface form Disambiguated ID Type / Status
Subject Chariots of Fire E194440 entity
Predicate producer P490 FINISHED
Object Allied Stars E194440 NE FINISHED

How this triple was built (2 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: Allied Stars | Statement: [Chariots of Fire, producer, Allied Stars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allied Stars
Context triple: [Chariots of Fire, producer, Allied Stars]
  • A. Allied Stars chosen
    Allied Stars is a film production company best known for producing the Academy Award–winning British drama "Chariots of Fire."
  • B. Aircraft Carrier Alliance
    Aircraft Carrier Alliance is the industrial consortium responsible for designing and building the Royal Navy’s Queen Elizabeth-class aircraft carriers.
  • C. Kopassus
    Kopassus is the Indonesian Army’s elite special forces unit, known for high-risk operations such as counter-terrorism, intelligence, and unconventional warfare.
  • D. Allied
    Allied is a 2016 World War II romantic thriller film directed by Robert Zemeckis, starring Brad Pitt and Marion Cotillard as spies whose relationship is tested by suspicion and betrayal.
  • E. Allied High Command
    Allied High Command was the top-level military leadership structure coordinating the Allied powers’ overall strategy and operations during World War II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e8db3a8819083772db5c7a2454b completed March 31, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9545ffc48190869906b02692b873 completed April 1, 2026, 9:59 p.m.
Created at: March 30, 2026, 5:54 p.m.