Triple

T10355492
Position Surface form Disambiguated ID Type / Status
Subject The Thin Red Line E243988 entity
Predicate stars P1956 FINISHED
Object Ben Chaplin E120715 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: Ben Chaplin | Statement: [The Thin Red Line, stars, Ben Chaplin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Chaplin
Context triple: [The Thin Red Line, stars, Ben Chaplin]
  • A. Ben Chaplin chosen
    Ben Chaplin is an English actor known for his work in film, television, and theatre, including roles in movies such as "The Thin Red Line" and "The Truth About Cats & Dogs."
  • B. Christopher Chaplin
    Christopher Chaplin is a Swiss-born composer and actor, best known as the youngest son of legendary filmmaker Charlie Chaplin and for his experimental and contemporary classical music works.
  • C. Shane Saura Chaplin
    Shane Saura Chaplin is the daughter of actress Geraldine Chaplin and granddaughter of legendary comedian and filmmaker Charlie Chaplin.
  • D. Alexander Chaplin
    Alexander Chaplin is an American actor best known for his role as speechwriter James Hobert on the television sitcom "Spin City."
  • E. Saul Chaplin
    Saul Chaplin was an American composer, arranger, and film musical director known for his work on classic Hollywood musicals and multiple Academy Award–winning scores.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e953d4888190b7ca0ac932349dbf completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750a9b4188190a8ecdd9e4d97570b completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:58 a.m.