Triple

T8513582
Position Surface form Disambiguated ID Type / Status
Subject Sarah Susan Phillips Lovecraft E201515 entity
Predicate givenName P17 FINISHED
Object Sarah E636710 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: Sarah | Statement: [Sarah Susan Phillips Lovecraft, givenName, Sarah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah
Context triple: [Sarah Susan Phillips Lovecraft, givenName, Sarah]
  • A. Sarah
    Sarah is the birth name of Margaret Fuller, the 19th-century American journalist, critic, and women's rights advocate associated with the Transcendentalist movement.
  • B. Sarah
    Sarah is the central protagonist of the story "Horse Girl," around whom the main narrative and character development revolve.
  • C. Sarah
    Sarah is a member of the 2nd Massachusetts Militia Regiment, a historical military unit associated with the state of Massachusetts.
  • D. Sarah chosen
    Sarah is the given first name of American actress and model Margaret Qualley, known for roles in projects like "Maid" and "Once Upon a Time in Hollywood."
  • E. Sarah
    Sarah is an alternate given name associated with Sally Hemings, the enslaved woman of mixed race owned by Thomas Jefferson and central to historical discussions of slavery and Jefferson’s legacy.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60cdfcc819081a9be1229378ba0 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb5dbfc08190827e8e886a37a8be completed April 2, 2026, 6:54 p.m.
Created at: March 30, 2026, 6:15 p.m.