Triple

T15368185
Position Surface form Disambiguated ID Type / Status
Subject Lords of Dogtown E367469 entity
Predicate stars P1956 FINISHED
Object Victor Rasuk E224899 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: Victor Rasuk | Statement: [Lords of Dogtown, stars, Victor Rasuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victor Rasuk
Context triple: [Lords of Dogtown, stars, Victor Rasuk]
  • A. Victor Rasuk chosen
    Victor Rasuk is an American actor known for roles in films like "Lords of Dogtown" and "How to Make It in America," as well as supporting parts in major franchises.
  • B. Victor Grinich
    Victor Grinich was an American electrical engineer and entrepreneur best known as one of the Traitorous Eight who co-founded Fairchild Semiconductor, helping launch Silicon Valley’s semiconductor industry.
  • C. Thomas Yatsko
    Thomas Yatsko is an American cinematographer and television director known for his work on various films and TV series, including the thriller "The Call" (2013).
  • D. Edward Chodorov
    Edward Chodorov was an American playwright, screenwriter, and producer known for his work in mid-20th-century Hollywood and Broadway.
  • E. Vladimir Sherwood
    Vladimir Sherwood was a Russian architect best known for his Neo-Russian style designs in Moscow during the late 19th century.
  • 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_69ff3d3eb6388190ba269350dbe7dfbc completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:18 a.m.