Triple

T2511674
Position Surface form Disambiguated ID Type / Status
Subject Olivia Susan Clemens E52714 entity
Predicate hasMiddleName P143 FINISHED
Object Susan E52714 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: Susan | Statement: [Olivia Susan Clemens, hasMiddleName, Susan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan
Context triple: [Olivia Susan Clemens, hasMiddleName, Susan]
  • A. Susan chosen
    Susan is the middle name of Olivia Susan Clemens.
  • B. Jennifer
    Jennifer is a common feminine given name of English origin, derived from the Cornish form of Guinevere and widely used in many English-speaking countries.
  • C. Sarah Jones
    Sarah Jones was the wife of William R. Davie, a prominent American Revolutionary War officer, statesman, and founder of the University of North Carolina.
  • D. Samantha Thompson
    Samantha Thompson is known as the daughter of American politician and former Illinois governor James R. Thompson.
  • E. Sarah
    Sarah is a key matriarch in the Hebrew Bible, revered as the wife of Abraham and mother of Isaac in the Jewish, Christian, and Islamic traditions.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1efb5c48190a9b47b39a388412b completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fac64a881909ed527a7c50ba720 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:46 p.m.