Triple

T20296521
Position Surface form Disambiguated ID Type / Status
Subject The Girl and Her Trust E505366 entity
Predicate starring P1507 FINISHED
Object W. Chrystie Miller NE NERFINISHED

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: W. Chrystie Miller | Statement: [The Girl and Her Trust, starring, W. Chrystie Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: W. Chrystie Miller
Context triple: [The Girl and Her Trust, starring, W. Chrystie Miller]
  • A. W. Chrystie Miller chosen
    W. Chrystie Miller was an American character actor of the silent film era, known for his frequent collaborations with director D. W. Griffith.
  • B. Ron Miller
    Ron Miller was an American songwriter best known for penning classic Motown hits, including the standard "For Once in My Life."
  • C. Ron Miller
    Ron Miller was an American film and television producer and former president and CEO of The Walt Disney Company, known for overseeing numerous Disney projects in the 1970s and 1980s.
  • D. Ron Miller
    Ron Miller is an American artist and illustrator renowned for his work in science fiction and astronomical art.
  • E. Robert Lane Miller
    Robert Lane Miller is an American author and legal expert known for his work on international business law and cross-border transactions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67707f770819093742d7509fe9bdd completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:15 a.m.