Triple

T1559094
Position Surface form Disambiguated ID Type / Status
Subject Duke Snider E33277 entity
Predicate nickname P55 FINISHED
Object Duke
Duke is the nickname of Hall of Fame Brooklyn Dodgers center fielder Duke Snider, one of baseball’s premier sluggers of the 1950s.
 E177944 NE FINISHED

How this triple was built (4 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: Duke | Statement: [Duke Snider, nickname, Duke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Duke
Context triple: [Duke Snider, nickname, Duke]
  • A. Duke
    Duke is the nickname of Duke Ellington, the influential American jazz composer, pianist, and bandleader who became a central figure in 20th-century music.
  • B. Duke
    A duke is the highest hereditary noble title in the British peerage system below the monarch, historically associated with great landholdings and significant political influence.
  • C. Duke
    Duke was a privateering ship commanded by English sea captain and privateer Woodes Rogers during his early 18th-century voyages.
  • D. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • E. Baldwin
    Baldwin is a common English surname of Anglo-Saxon origin that has been borne by numerous notable figures in literature, politics, and entertainment.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Duke
Triple: [Duke Snider, nickname, Duke]
Generated description
Duke is the nickname of Hall of Fame Brooklyn Dodgers center fielder Duke Snider, one of baseball’s premier sluggers of the 1950s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Duke
Target entity description: Duke is the nickname of Hall of Fame Brooklyn Dodgers center fielder Duke Snider, one of baseball’s premier sluggers of the 1950s.
  • A. Duke
    A duke is the highest hereditary noble title in the British peerage system below the monarch, historically associated with great landholdings and significant political influence.
  • B. Duke
    Duke was a privateering ship commanded by English sea captain and privateer Woodes Rogers during his early 18th-century voyages.
  • C. Duke
    Duke is the nickname of Duke Ellington, the influential American jazz composer, pianist, and bandleader who became a central figure in 20th-century music.
  • D. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • E. Baldwin
    Baldwin is a common English surname of Anglo-Saxon origin that has been borne by numerous notable figures in literature, politics, and entertainment.
  • F. None of above. chosen

Provenance (5 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa621102cc81909c5b777a105fc91c completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad3712e2ac81908c66f18fa89d46f2 completed March 8, 2026, 8:45 a.m.
NEDg Description generation batch_69ad39f88fb48190982ca19392992008 completed March 8, 2026, 8:57 a.m.
NED2 Entity disambiguation (via description) batch_69ad3a7c99108190b9fdb929fe2118c1 completed March 8, 2026, 8:59 a.m.
Created at: March 4, 2026, 7:27 p.m.