Triple

T12421256
Position Surface form Disambiguated ID Type / Status
Subject Eleanor Sokoloff E296776 entity
Predicate givenName P17 FINISHED
Object Eleanor E5505 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: Eleanor | Statement: [Eleanor Sokoloff, givenName, Eleanor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eleanor
Context triple: [Eleanor Sokoloff, givenName, Eleanor]
  • A. Eleanor chosen
    Eleanor is a feminine given name most famously borne by Eleanor Roosevelt, the influential First Lady of the United States and human rights advocate.
  • B. Eleanor
    Eleanor was one of the merchant ships in Boston Harbor whose tea cargo was destroyed during the Boston Tea Party protest against British taxation in 1773.
  • C. Eleanor Holland
    Eleanor Holland was a 15th-century English noblewoman of the influential Holland family, connected by birth and marriage to the high aristocracy during the late medieval period.
  • D. Katherine
    Katherine is the central protagonist of the story "The Well," around whom the narrative’s main events and conflicts revolve.
  • E. Katherine
    Katherine is a feminine given name of Greek origin, commonly associated with meanings related to purity.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d702b1481909db5f5bed6292ce0 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63efc0c7081909fe7d1818a081684 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.