Triple

T10808394
Position Surface form Disambiguated ID Type / Status
Subject Robert Swink E255026 entity
Predicate name P16 FINISHED
Object Robert Swink E255026 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: Robert Swink | Statement: [Robert Swink, name, Robert Swink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Swink
Context triple: [Robert Swink, name, Robert Swink]
  • A. Robert Swink chosen
    Robert Swink was an American film editor known for his work on numerous classic Hollywood films, including "Roman Holiday."
  • B. Peter Schink
    Peter Schink is a screenwriter best known for co-writing the apocalyptic action-horror film "Legion" (2010).
  • C. Donald Oenslager
    Donald Oenslager was an influential American theatrical set designer and educator known for helping shape modern stage design on Broadway in the mid-20th century.
  • D. Roy Leenig
    Roy Leenig was a prominent American college basketball coach best known for his successful tenure leading the Holy Cross Crusaders men's basketball program.
  • E. James D. van Hoften
    James D. van Hoften is a former NASA astronaut and aerospace engineer who flew on multiple Space Shuttle missions, notably performing spacewalks to repair satellites.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b60c6481909b043565a65f996d completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8513fe0881909d6833c85aac03a8 completed April 14, 2026, 6:19 p.m.
Created at: April 8, 2026, 9:18 p.m.