Triple

T1723364
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Sacks E37441 entity
Predicate familyName P18 FINISHED
Object Sacks
Sacks is a surname most prominently associated with Jonathan Sacks, the influential British rabbi, philosopher, and former Chief Rabbi of the United Hebrew Congregations of the Commonwealth.
E195124 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: Sacks | Statement: [Jonathan Sacks, familyName, Sacks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sacks
Context triple: [Jonathan Sacks, familyName, Sacks]
  • A. Logue
    Logue is a surname most notably associated with Lionel Logue, the Australian speech therapist who helped King George VI overcome his stammer.
  • B. Saunders
    Saunders is a given name most notably borne by Saunders Mac Lane, a prominent American mathematician and co-founder of category theory.
  • C. Mr. Papers
    Mr. Papers is a rapper best known for his on-and-off romantic relationship with hip-hop icon Lil' Kim.
  • D. The Saint
    The Saint is one of the short stories in Gabriel García Márquez’s collection "Strange Pilgrims," exploring themes of faith, miracles, and human vulnerability.
  • E. Millner
    Millner is an English occupational surname historically associated with people who made or sold hats or millinery goods.
  • 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: Sacks
Triple: [Jonathan Sacks, familyName, Sacks]
Generated description
Sacks is a surname most prominently associated with Jonathan Sacks, the influential British rabbi, philosopher, and former Chief Rabbi of the United Hebrew Congregations of the Commonwealth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sacks
Target entity description: Sacks is a surname most prominently associated with Jonathan Sacks, the influential British rabbi, philosopher, and former Chief Rabbi of the United Hebrew Congregations of the Commonwealth.
  • A. Logue
    Logue is a surname most notably associated with Lionel Logue, the Australian speech therapist who helped King George VI overcome his stammer.
  • B. Saunders
    Saunders is a given name most notably borne by Saunders Mac Lane, a prominent American mathematician and co-founder of category theory.
  • C. Mr. Papers
    Mr. Papers is a rapper best known for his on-and-off romantic relationship with hip-hop icon Lil' Kim.
  • D. The Saint
    The Saint is one of the short stories in Gabriel García Márquez’s collection "Strange Pilgrims," exploring themes of faith, miracles, and human vulnerability.
  • E. Resnick
    Resnick is a surname most notably associated with Mitchel Resnick, an influential researcher in learning sciences and creative technologies at the MIT Media Lab.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63587ce08190a6a9e6dae11a708c completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8aefefc881908acd48eebc67c6ec completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad979ce880819089daecbc8455ec84 completed March 8, 2026, 3:37 p.m.
NED2 Entity disambiguation (via description) batch_69ad9ba92a848190918a8748fb65348a completed March 8, 2026, 3:54 p.m.
Created at: March 4, 2026, 7:30 p.m.