Triple

T14622222
Position Surface form Disambiguated ID Type / Status
Subject Baby Face E343252 entity
Predicate director P255 FINISHED
Object Alfred E. Green E257301 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: Alfred E. Green | Statement: [Baby Face, director, Alfred E. Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfred E. Green
Context triple: [Baby Face, director, Alfred E. Green]
  • A. Alfred E. Green chosen
    Alfred E. Green was an American film director active from the silent era through the mid-20th century, known for directing numerous Hollywood features across a variety of genres.
  • B. Albert C. Greene
    Albert C. Greene was a 19th-century American politician and lawyer who served as a U.S. Senator from Rhode Island.
  • C. G. C. Green
    G. C. Green is an English bassist best known as a founding member of the industrial metal band Godflesh.
  • D. Frederick W. Green
    Frederick W. Green was a British Egyptologist known for his archaeological work and excavations in Egypt during the late 19th and early 20th centuries.
  • E. William Edward Green
    William Edward Green, better known as William Friese-Greene, was a pioneering British inventor and early motion picture experimenter credited with significant contributions to the development of cinematography.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb466a61c81908a110d40fb959b6f completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9288e748190bf65a01803265a73 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.