Triple

T3559132
Position Surface form Disambiguated ID Type / Status
Subject Theresa E75291 entity
Predicate hasDiminutive P456 FINISHED
Object Terry E103446 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: Terry | Statement: [Theresa, hasDiminutive, Terry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terry
Context triple: [Theresa, hasDiminutive, Terry]
  • A. Terrence
    Terrence is the given first name of Terry Francona, a prominent American Major League Baseball manager and former player.
  • B. Terrence chosen
    Terrence is a masculine given name, commonly used in English-speaking countries and often shortened to "Terry."
  • C. Terrence
    Terrence is the first name of Pusha T, an American rapper, songwriter, and record executive known for his sharp lyricism and work as half of the duo Clipse.
  • D. Terry Schrunk
    Terry Schrunk was an American politician who served as the long-time mayor of Portland, Oregon, during the mid-20th century.
  • E. Trevor Jim
    Trevor Jim was a computer scientist and cryptographer known for his work on programming languages, security, and formal methods.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0881d50819092332491b9527c9d completed March 8, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb9983f48190bda2749d93c74a8d completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:20 p.m.