Triple

T7519752
Position Surface form Disambiguated ID Type / Status
Subject Conde McCullough E177737 entity
Predicate givenName P17 FINISHED
Object Conde E593095 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: Conde | Statement: [Conde McCullough, givenName, Conde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conde
Context triple: [Conde McCullough, givenName, Conde]
  • A. Conde chosen
    Conde is a noble title historically used in various European countries, equivalent in rank to a count.
  • B. Marquis
    Marquis is a hereditary noble rank in various European and Asian aristocratic systems, traditionally positioned between a count/earl and a duke and often associated with governance of border territories.
  • C. Gandolfini
    Gandolfini is an Italian surname most famously borne by James Gandolfini, the American actor renowned for his role as Tony Soprano in the television series "The Sopranos."
  • D. Marquis del Vasto
    Marquis del Vasto was a prominent 16th-century Spanish-Italian nobleman and military leader who served the Habsburgs in the Italian Wars.
  • E. Ferrera
    Ferrera is a Spanish-origin surname most prominently associated with American actress and producer America Ferrera.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f98ae48190946a18d7c2d33bcd completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8462610b481909fa74023852b0154 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:46 p.m.