Triple

T14847813
Position Surface form Disambiguated ID Type / Status
Subject Irvin Kershner E349144 entity
Predicate workedWith P398 FINISHED
Object Mark Hamill E48043 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: Mark Hamill | Statement: [Irvin Kershner, workedWith, Mark Hamill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Hamill
Context triple: [Irvin Kershner, workedWith, Mark Hamill]
  • A. Mark Hamill chosen
    Mark Hamill is an American actor best known for portraying Luke Skywalker in the Star Wars film series and for his extensive voice work, including the Joker in various Batman animated projects.
  • B. Jorge Luke
    Jorge Luke was a Mexican actor known for his roles in 1970s and 1980s films, often portraying intense and complex characters in both Mexican and international cinema.
  • C. Harrison Ford
    Harrison Ford is an iconic American actor best known for his roles as Han Solo in Star Wars and Indiana Jones in the Indiana Jones film series.
  • D. Hayden Christensen
    Hayden Christensen is a Canadian actor best known for portraying Anakin Skywalker in the Star Wars prequel films.
  • E. Ewan McGregor
    Ewan McGregor is a Scottish actor known for his versatile film and television roles, including portraying Obi-Wan Kenobi in the Star Wars prequel trilogy.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded29236dc8190b7d3a37d09f9fb21 completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6502d3f081909ff6fa8722769e2e completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:53 a.m.