Triple

T3865938
Position Surface form Disambiguated ID Type / Status
Subject Lucille Benson E91851 entity
Predicate notableWork P4 FINISHED
Object The Love Boat E178003 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: The Love Boat | Statement: [Lucille Benson, notableWork, The Love Boat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Love Boat
Context triple: [Lucille Benson, notableWork, The Love Boat]
  • A. The Love Boat chosen
    The Love Boat is an American comedy-drama television series set aboard a cruise ship, featuring romantic and humorous storylines with a rotating cast of guest stars.
  • B. Anchors Aweigh
    Anchors Aweigh is a 1945 MGM musical film best known for its song-and-dance numbers and Gene Kelly’s iconic live-action/animation sequence with Jerry Mouse.
  • C. Knots Landing
    Knots Landing is an American prime-time television soap opera that aired from 1979 to 1993, focusing on the intertwined personal and professional lives of residents in a coastal California cul-de-sac.
  • D. Love, Inc.
    Love, Inc. is an American television sitcom that follows a group of dating consultants as they help clients find love while navigating their own romantic lives.
  • E. China Beach
    China Beach is a small, scenic cove and sandy beach in San Francisco known for its views of the Golden Gate Bridge and the Marin Headlands.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3b8d988190b56d42ac1521e19c completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512410f38819089adccf0a476dd8f completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:19 p.m.