Triple

T5984856
Position Surface form Disambiguated ID Type / Status
Subject Moon Jae-in E133201 entity
Predicate baptismalName P26692 FINISHED
Object Timothy
Timothy is the Christian baptismal name of Moon Jae-in, the former President of South Korea.
E559975 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: Timothy | Statement: [Moon Jae-in, baptismalName, Timothy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timothy
Context triple: [Moon Jae-in, baptismalName, Timothy]
  • A. Timothy
    Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
  • B. Timothy
    Timothy is a prominent early Christian companion and protégé of the Apostle Paul, known from the New Testament for his missionary work and pastoral leadership.
  • C. Timothy
    Timothy is a character known primarily as the adversary of Charly Baltimore in the action thriller film "The Long Kiss Goodnight."
  • D. Tobias
    Tobias is the full given name of Toby Ziegler, the fictional White House Communications Director from the television series "The West Wing."
  • E. Tobias
    Tobias is the virtuous young protagonist of the biblical Book of Tobit, known for his journey with the angel Raphael and the healing of his father’s blindness.
  • 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: Timothy
Triple: [Moon Jae-in, baptismalName, Timothy]
Generated description
Timothy is the Christian baptismal name of Moon Jae-in, the former President of South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Timothy
Target entity description: Timothy is the Christian baptismal name of Moon Jae-in, the former President of South Korea.
  • A. Timothy
    Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
  • B. Timothy
    Timothy is a prominent early Christian companion and protégé of the Apostle Paul, known from the New Testament for his missionary work and pastoral leadership.
  • C. Timothy
    Timothy is a character known primarily as the adversary of Charly Baltimore in the action thriller film "The Long Kiss Goodnight."
  • D. Tobias
    Tobias was a Native American man from the 17th-century Wampanoag community, known primarily through his familial connection to the Sakonnet leader Awashonks.
  • E. Tobias
    Tobias is the full given name of Toby Ziegler, the fictional White House Communications Director from the television series "The West Wing."
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a6dcaf08190bac27c7042e65e07 completed March 22, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e42a0fcc8190ab8d7f797b58a8e0 completed March 23, 2026, 6:56 a.m.
NEDg Description generation batch_69c0f6e214748190a8e9452353853da4 completed March 23, 2026, 8:16 a.m.
NED2 Entity disambiguation (via description) batch_69c0f74c175c81909d4414ca34fa85dd completed March 23, 2026, 8:18 a.m.
Created at: March 22, 2026, 4:04 p.m.