Triple

T15996433
Position Surface form Disambiguated ID Type / Status
Subject Dr. Mark Greene E387977 entity
Predicate child P120 FINISHED
Object Ella Greene E1183662 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: Ella Greene | Statement: [Dr. Mark Greene, child, Ella Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ella Greene
Context triple: [Dr. Mark Greene, child, Ella Greene]
  • A. Ella Greene chosen
    Ella Greene is a fictional character from the television series "ER," known as the daughter of Dr. Mark Greene.
  • B. Ella Rice
    Ella Rice is an American academic and former spouse of filmmaker George Lucas, known for her work in education and her connection to the early life of the Star Wars creator.
  • C. Ella Rice
    Ella Rice was the first wife of American business magnate and aviator Howard Hughes, whom he married in the 1920s before his rise to great fame.
  • D. Ella Watson
    Ella Watson is a central character in Michael Cimino’s 1980 Western epic film "Heaven’s Gate," around whom much of the movie’s romantic and political conflict revolves.
  • E. Ella Quinlan
    Ella Quinlan was the wife of 19th-century Irish-American actor James O'Neill and the mother of playwright Eugene O'Neill.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157882ef0819081143e530bd6413c completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1edc7c81908fdd0fa00418d7a7 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.