Triple

T10144244
Position Surface form Disambiguated ID Type / Status
Subject Abraham Baldwin E231662 entity
Predicate givenName P17 FINISHED
Object Abraham E9364 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: Abraham | Statement: [Abraham Baldwin, givenName, Abraham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abraham
Context triple: [Abraham Baldwin, givenName, Abraham]
  • A. Abraham
    Abraham is the given name of Abraham Lincoln, the 16th president of the United States who led the country through the Civil War and abolished slavery.
  • B. Abraham
    Abraham is a small unincorporated community located in rural Millard County in the U.S. state of Utah.
  • C. Abraham chosen
    Abraham is a foundational patriarch in the Hebrew Bible, revered as the ancestor of the Israelites and a central figure in Jewish religious tradition.
  • D. Abram
    Abram is a masculine given name of Hebrew origin, historically associated with the biblical patriarch later named Abraham.
  • E. Abram
    Abram is a village and civil parish in the Metropolitan Borough of Wigan in Greater Manchester, England.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb28a1708190b46499dbe51a694a completed April 2, 2026, 4:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e618b0bc8190bc1d6f15dac2708e completed April 5, 2026, 10:45 p.m.
Created at: March 30, 2026, 9:07 p.m.