Triple

T16286177
Position Surface form Disambiguated ID Type / Status
Subject Slipstream E395392 entity
Predicate leadActor P1507 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: [Slipstream, leadActor, Mark Hamill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Hamill
Context triple: [Slipstream, leadActor, 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. Forrest Frey
    Forrest Frey is the legendary progenitor of House Frey, the noble family famed in Westerosi history for its control of the strategic crossing known as the Twins.
  • D. 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.
  • E. Hayden Christensen
    Hayden Christensen is a Canadian actor best known for portraying Anakin Skywalker in the Star Wars prequel films.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24914bda08190a5d6315414ee3f76 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f94ede48190835e8a0c6f5d0f19 completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:05 a.m.