Triple

T12890558
Position Surface form Disambiguated ID Type / Status
Subject John Slidell E308351 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Slidell, a 19th-century American politician and diplomat involved in key events leading up to the U.S. Civil War.
E1012759 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: John | Statement: [John Slidell, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Slidell, givenName, John]
  • A. John
    John is the given first name of the legendary American professional golfer Byron Nelson, one of the sport’s early great champions.
  • B. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • C. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • D. John
    John Beaufort, 1st Earl of Somerset, was an English nobleman and military commander, the eldest of John of Gaunt’s legitimized Beaufort children and a prominent figure in the early Lancastrian dynasty.
  • E. John
    John is the given name of Colonel John Parry, a fictional explorer and father of Lyra Belacqua in Philip Pullman’s "His Dark Materials" series.
  • 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: John
Triple: [John Slidell, givenName, John]
Generated description
John is the given name of John Slidell, a 19th-century American politician and diplomat involved in key events leading up to the U.S. Civil War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Slidell, a 19th-century American politician and diplomat involved in key events leading up to the U.S. Civil War.
  • A. John
    John is the given name of John Alexander Logan, a prominent 19th-century American Civil War general and influential politician.
  • B. John
    John is the given name of John Peter Altgeld, a prominent 19th-century American politician and reformist governor of Illinois.
  • C. John
    John is the given name of John Wesley Longyear, an American politician and jurist from the 19th century.
  • D. John
    John is the given name of John C. Frémont, a 19th-century American explorer, military officer, and politician who was the first Republican nominee for U.S. president.
  • E. John
    John is the given name of John Williams Walker, an early 19th-century American politician and U.S. Senator from Alabama.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97146d2208190be5ae26e51193b67 completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8cec96c819089d253162bc4705a completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9a1ca54819085da2ca592bf5219 completed May 3, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb2602848190b9588134c71d0ef4 completed May 3, 2026, 3:04 a.m.
Created at: April 9, 2026, 5:39 p.m.