Triple

T2072137
Position Surface form Disambiguated ID Type / Status
Subject Christ Church, Oxford E44837 entity
Predicate hasComponent P35 FINISHED
Object Tom Quad
Tom Quad is the largest college quadrangle in Oxford, forming the grand central courtyard of Christ Church.
 E231277 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: Tom Quad | Statement: [Christ Church, Oxford, hasComponent, Tom Quad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Quad
Context triple: [Christ Church, Oxford, hasComponent, Tom Quad]
  • A. Vance
    Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
  • B. Willard
    Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
  • C. Jeb
    Jeb is a masculine given name, often used as a diminutive of names like Jebediah or James.
  • D. Dirksen
    Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
  • E. Krueger
    Krueger is a German-origin surname borne by numerous notable individuals across fields such as military, politics, arts, and academia.
  • 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: Tom Quad
Triple: [Christ Church, Oxford, hasComponent, Tom Quad]
Generated description
Tom Quad is the largest college quadrangle in Oxford, forming the grand central courtyard of Christ Church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Quad
Target entity description: Tom Quad is the largest college quadrangle in Oxford, forming the grand central courtyard of Christ Church.
  • A. Vance
    Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
  • B. Willard
    Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
  • C. Jeb
    Jeb is a masculine given name, often used as a diminutive of names like Jebediah or James.
  • D. Dirksen
    Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
  • E. Krueger
    Krueger is a German-origin surname borne by numerous notable individuals across fields such as military, politics, arts, and academia.
  • 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba0eaa5081908f6d6ff80f79b1c9 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae272ee27c8190a4bb4690961dccf6 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae27b2c9d08190b1950abd8d41d3b3 completed March 9, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae2817ce3c81908e48170760cf98ef completed March 9, 2026, 1:53 a.m.
Created at: March 4, 2026, 7:41 p.m.