Triple

T345803
Position Surface form Disambiguated ID Type / Status
Subject Ralph Nelson E6938 entity
Predicate directed P7373 FINISHED
Object Lilies of the Field E43901 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: Lilies of the Field | Statement: [Ralph Nelson, directed, Lilies of the Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lilies of the Field
Context triple: [Ralph Nelson, directed, Lilies of the Field]
  • A. Lilies of the Field chosen
    Lilies of the Field is a 1963 American film drama, best known for Sidney Poitier’s Oscar-winning performance as a handyman who helps a group of nuns build a chapel in the Arizona desert.
  • B. Red Dust
    Red Dust is a 1932 American pre-Code romantic drama film starring Clark Gable and Jean Harlow, set on a rubber plantation in French Indochina.
  • C. National Velvet
    National Velvet is a classic 1944 family sports drama film about a young girl and her horse competing in the Grand National steeplechase.
  • D. Scenes from the Heart
    Scenes from the Heart is a memoir-style book co-written by Swedish opera singer Malena Ernman and her family that chronicles their personal journey through climate activism and raising Greta Thunberg.
  • E. On the Town
    On the Town is a 1944 Broadway musical with music by Leonard Bernstein that follows three sailors on 24-hour shore leave in New York City, later adapted into a popular 1949 film.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb0240e88190bc70784772f5fa30 completed Feb. 28, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3dd31c720819092af1eb26bd3080a completed March 1, 2026, 6:31 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.