Triple

T9093762
Position Surface form Disambiguated ID Type / Status
Subject George W. Norris E217960 entity
Predicate spouse P13 FINISHED
Object Ella Leonard Norris E217960 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 Leonard Norris | Statement: [George W. Norris, spouse, Ella Leonard Norris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ella Leonard Norris
Context triple: [George W. Norris, spouse, Ella Leonard Norris]
  • A. Ella Leonard Norris chosen
    Ella Leonard Norris was the wife of longtime Nebraska U.S. Senator and progressive Republican reformer George W. Norris.
  • B. Nora Mellon
    Nora Mellon was a member of the prominent Mellon family after whom the industrial town of Donora, Pennsylvania, was named.
  • C. Ellen Lacey
    Ellen Lacey is a fictional character from the 1954 film noir "Crime Wave," involved in the story’s tense criminal underworld and police investigation.
  • D. Ella Burton Stewart
    Ella Burton Stewart was a woman significant enough in local history that the town of Ellaville, Georgia, was named in her honor.
  • E. Ellen Andrews
    Ellen Andrews is the mother who magically swaps bodies with her teenage daughter in the 1976 fantasy-comedy film "Freaky Friday."
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b347d4819085b33d0e20834f47 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d03007ed908190afd34cf3f32312e9 completed April 3, 2026, 9:24 p.m.
Created at: March 30, 2026, 7:14 p.m.