Triple

T10543005
Position Surface form Disambiguated ID Type / Status
Subject Mindy Sterling E248742 entity
Predicate familyName P18 FINISHED
Object Sterling E141495 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: Sterling | Statement: [Mindy Sterling, familyName, Sterling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sterling
Context triple: [Mindy Sterling, familyName, Sterling]
  • A. Sterling
    Sterling is a suburban community in Loudoun County, Northern Virginia, known for its residential neighborhoods, proximity to Washington Dulles International Airport, and role as part of the greater Washington, D.C. metropolitan area.
  • B. Sterling chosen
    Sterling is a masculine given name of English origin, often associated with qualities of high value or excellence.
  • C. Sterling
    Sterling is a city in northern Illinois known as a regional industrial and commercial center along the Rock River.
  • D. Pound sterling
    The pound sterling is the official currency of the United Kingdom and one of the world’s oldest continuously used monetary units.
  • E. Gulden
    The Gulden was a historical European gold-based coin and monetary unit used in various German states, including Hesse-Kassel, before the adoption of more modern currencies.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5190f46d08190a92b1191881ffb92 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9342e6cf48190b0ca53ff2a4e0214 completed April 10, 2026, 5:32 p.m.
Created at: April 6, 2026, 12:32 p.m.