Triple

T8279021
Position Surface form Disambiguated ID Type / Status
Subject Louisa Matilda Jacobs E193618 entity
Predicate familyName P18 FINISHED
Object Jacobs E21231 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: Jacobs | Statement: [Louisa Matilda Jacobs, familyName, Jacobs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacobs
Context triple: [Louisa Matilda Jacobs, familyName, Jacobs]
  • A. Jacobs chosen
    Jacobs is a surname most notably associated with Harriet Jacobs, the African-American writer and abolitionist who authored the influential slave narrative "Incidents in the Life of a Slave Girl."
  • B. Jacobsen
    Jacobsen is a common Danish surname borne by numerous notable figures in fields such as design, architecture, literature, and politics.
  • C. Chosen Jacobs
    Chosen Jacobs is an American actor and singer best known for his role as Mike Hanlon in the horror film "It" (2017) and its sequel.
  • D. Jeppson
    Jeppson is the maiden surname of American psychiatrist and science fiction writer Janet Asimov.
  • E. Jacob's
    Jacob's is a well-known biscuit brand originating from Ireland, recognized for products like cream crackers and a variety of sweet and savory biscuits.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb79ece5708190a1569bcfad5b3644 completed March 31, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6863c22c8190b888a23bb9005712 completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:51 p.m.