Triple

T7588839
Position Surface form Disambiguated ID Type / Status
Subject Sun Fo E179683 entity
Predicate givenName P17 FINISHED
Object Fo
Fo is the given name of Sun Fo, a prominent Chinese politician and son of Sun Yat-sen.
 E675721 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: Fo | Statement: [Sun Fo, givenName, Fo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fo
Context triple: [Sun Fo, givenName, Fo]
  • A. Torrent
    Torrent is a municipality in eastern Spain that forms part of the metropolitan area of Valencia and is one of the largest towns in the Valencian Community.
  • B.
    East Millstone, New Jersey is an unincorporated community and census-designated place in Franklin Township, Somerset County, known for its historic character and residential setting.
  • C.
    Surquillo is a district in the Lima Province of Peru, known for its central urban location and bustling commercial activity within the Lima metropolitan area.
  • D.
    Morehead State University is a public university in Morehead, Kentucky, known for its strong programs in education, space science, and regional outreach.
  • E. arithmetization of syntax
    Arithmetization of syntax is a method in mathematical logic that encodes formal language expressions and proofs as natural numbers so that syntactic properties can be studied using arithmetic.
  • 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: Fo
Triple: [Sun Fo, givenName, Fo]
Generated description
Fo is the given name of Sun Fo, a prominent Chinese politician and son of Sun Yat-sen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fo
Target entity description: Fo is the given name of Sun Fo, a prominent Chinese politician and son of Sun Yat-sen.
  • A. Torrent
    Torrent is a municipality in eastern Spain that forms part of the metropolitan area of Valencia and is one of the largest towns in the Valencian Community.
  • B.
    East Millstone, New Jersey is an unincorporated community and census-designated place in Franklin Township, Somerset County, known for its historic character and residential setting.
  • C.
    Surquillo is a district in the Lima Province of Peru, known for its central urban location and bustling commercial activity within the Lima metropolitan area.
  • D.
    Morehead State University is a public university in Morehead, Kentucky, known for its strong programs in education, space science, and regional outreach.
  • E. arithmetization of syntax
    Arithmetization of syntax is a method in mathematical logic that encodes formal language expressions and proofs as natural numbers so that syntactic properties can be studied using arithmetic.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f99991948190af1fb0635895ad94 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8618d29c4819083e78266af8f2daa completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c86211e4f88190b38bce6441e33b53 completed March 28, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69c862b8f3688190b0abc00458f70d7e completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:52 p.m.