Triple

T22757593
Position Surface form Disambiguated ID Type / Status
Subject John Lambert E562891 entity
Predicate givenName P17 FINISHED
Object John
John Lambert was a prominent English Parliamentary general and politician during the English Civil War and Interregnum.
E562891 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 Lambert, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Lambert, givenName, John]
  • A. John
    John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
  • B. John
    John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
  • C. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • D. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • 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
  • 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 Lambert, givenName, John]
Generated description
John Lambert was a prominent English Parliamentary general and politician during the English Civil War and Interregnum.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John Lambert was a prominent English Parliamentary general and politician during the English Civil War and Interregnum.
  • A. John chosen
    John Lambert was a prominent English Parliamentary general and politician during the English Civil War and Interregnum.
  • B. John
    John Hampden was a prominent 17th-century English politician and Parliamentarian leader known for his opposition to King Charles I’s taxation policies and his role in the events leading up to the English Civil War.
  • C. John
    John is the given name of Sir John Eliot, a prominent 17th-century English politician and leading parliamentary critic of King Charles I.
  • D. John
    John is the given name of Sir John Byron, an English nobleman and Royalist commander during the English Civil War.
  • E. John
    John is the given name of the 17th-century English poet and intellectual John Milton, renowned for his epic poem "Paradise Lost."
  • F. None of above.

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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a798ae08190b9810bf241613198 completed April 29, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b98150cfc8190a3530e51f0311e33 completed May 18, 2026, 10:52 p.m.
NEDg Description generation batch_6a0b99f7ee848190a4838e757cff7de6 completed May 18, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_6a0b9ab1cb508190befa17184bfd8f51 completed May 18, 2026, 11:03 p.m.
Created at: April 17, 2026, 3:25 p.m.