Triple

T710951
Position Surface form Disambiguated ID Type / Status
Subject And Another Thing... E14204 entity
Predicate mainCharacter P1183 FINISHED
Object Random Dent E51819 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: Random Dent | Statement: [And Another Thing..., mainCharacter, Random Dent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Random Dent
Context triple: [And Another Thing..., mainCharacter, Random Dent]
  • A. Random Dent chosen
    Random Dent is a character in Douglas Adams' "The Hitchhiker's Guide to the Galaxy" series, known as the daughter of Arthur Dent and Trillian.
  • B. Dungeon Rock
    Dungeon Rock is a historic cave in Lynn, Massachusetts, associated with pirate legends and 19th-century spiritualist treasure-hunting excavations.
  • C. Dranse
    The Dranse is a river in the Haute-Savoie region of France that flows from the Alps into Lake Geneva near Thonon-les-Bains.
  • D. Dern
    Dern is a surname most prominently associated with American actor Bruce Dern and his family of performers.
  • E. Chance Rides
    Chance Rides is an American amusement ride manufacturer known for producing Ferris wheels, carousels, and other attractions for theme parks and entertainment venues worldwide.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a55c99fc8190941c5fd18551792a completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dcb3452c8190a150b4a182807813 completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.