Triple

T19967660
Position Surface form Disambiguated ID Type / Status
Subject John J. Gilligan E479980 entity
Predicate familyName P18 FINISHED
Object Gilligan NE NERFINISHED

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: Gilligan | Statement: [John J. Gilligan, familyName, Gilligan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilligan
Context triple: [John J. Gilligan, familyName, Gilligan]
  • A. Gilligan chosen
    Gilligan is the bumbling, well-meaning first mate and central comedic figure from the classic American television sitcom "Gilligan's Island."
  • B. Gilligan's Island
    Gilligan's Island is a classic 1960s American sitcom about a group of castaways stranded on a deserted island, known for its ensemble characters and enduring pop-culture impact.
  • C. Gilligan's Planet
    Gilligan's Planet is an animated science-fiction comedy series that reimagines the castaways from Gilligan's Island stranded on a distant planet.
  • D. Rescue from Gilligan's Island
    Rescue from Gilligan's Island is a made-for-television comedy film that continues the story of the castaways from the classic sitcom Gilligan's Island, depicting their long-awaited rescue and its aftermath.
  • E. Sea Hunt
    Sea Hunt is a late-1950s American adventure television series centered on the underwater exploits of scuba diver Mike Nelson, played by Lloyd Bridges.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc6b0208190b1ae30be95712326 completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.