Triple

T7683786
Position Surface form Disambiguated ID Type / Status
Subject Ernest Marsden E174061 entity
Predicate givenName P17 FINISHED
Object Ernest E49898 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: Ernest | Statement: [Ernest Marsden, givenName, Ernest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernest
Context triple: [Ernest Marsden, givenName, Ernest]
  • A. Ernest chosen
    Ernest is a masculine given name of Germanic origin meaning "serious" or "resolute," borne by numerous notable figures across history and culture.
  • B. Ernest Goes to School
    Ernest Goes to School is a 1994 slapstick comedy film in the Ernest P. Worrell series, following the dim-witted but well-meaning Ernest as he returns to high school to earn his diploma.
  • C. Maurice
    Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
  • D. Maurice
    Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
  • E. Homer Bigart
    Homer Bigart was a Pulitzer Prize–winning American war correspondent renowned for his frontline reporting in conflicts such as World War II, the Korean War, and the Vietnam War.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7021ed6008190a1522b46110e677e completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a257af0c8190ba1a2693a42b9ebe completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4:01 p.m.