Triple

T15368131
Position Surface form Disambiguated ID Type / Status
Subject Thirteen E367468 entity
Predicate producer P490 FINISHED
Object Michael London E146230 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: Michael London | Statement: [Thirteen, producer, Michael London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael London
Context triple: [Thirteen, producer, Michael London]
  • A. Michael London chosen
    Michael London is a film producer known for his work on acclaimed independent movies such as "Sideways" and "Charlie Bartlett."
  • B. Jason London
    Jason London is an American actor best known for his role as high school quarterback Randall "Pink" Floyd in the cult coming-of-age film *Dazed and Confused*.
  • C. Tony Lundon
    Tony Lundon is an Irish singer and dancer best known as a member of the early-2000s British-Irish pop group Liberty X.
  • D. Anthony Steel
    Anthony Steel was a British film actor prominent in the 1950s, known for his leading-man roles in war dramas and adventure films.
  • E. Grant Matthews
    Grant Matthews is the ambitious, idealistic businessman-turned-presidential-candidate who serves as the central figure in the political drama film "State of the Union."
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4a7cdc8190b7b48c97e774c306 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b50703881909ca71c985bc1c7b5 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:18 a.m.