Triple

T35003009
Position Surface form Disambiguated ID Type / Status
Subject La-iad Phibunsongkhram E1009733 entity
Predicate spouseNameInThai P196436 FINISHED
Object แปลก พิบูลสงคราม
แปลก พิบูลสงคราม หรือ จอมพล ป. พิบูลสงคราม เป็นนายกรัฐมนตรีและผู้นำเผด็จการทหารคนสำคัญของไทยในช่วงกลางคริสต์ศตวรรษที่ 20 ผู้มีบทบาทในการเปลี่ยนแปลงการเมืองและนโยบายชาตินิยมของประเทศ.
 E2120862 NE FINISHED

How this triple was built (3 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: แปลก พิบูลสงคราม | Statement: [La-iad Phibunsongkhram, spouseNameInThai, แปลก พิบูลสงคราม]
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: แปลก พิบูลสงคราม
Triple: [La-iad Phibunsongkhram, spouseNameInThai, แปลก พิบูลสงคราม]
Generated description
แปลก พิบูลสงคราม หรือ จอมพล ป. พิบูลสงคราม เป็นนายกรัฐมนตรีและผู้นำเผด็จการทหารคนสำคัญของไทยในช่วงกลางคริสต์ศตวรรษที่ 20 ผู้มีบทบาทในการเปลี่ยนแปลงการเมืองและนโยบายชาตินิยมของประเทศ.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: spouseNameInThai
Context triple: [La-iad Phibunsongkhram, spouseNameInThai, แปลก พิบูลสงคราม]
  • A. spouseNameInVietnamese
    Indicates that the predicate specifies the name of a person's spouse as written or expressed in the Vietnamese language.
  • B. spouseNameInKorean
    Indicates that the predicate specifies the name of a person's spouse written in the Korean language.
  • C. spouse name
    Indicates that one entity is the legally recognized husband or wife of the other, specifying the partner’s name in a marital relationship.
  • D. spouseRealName
    Indicates that one person is the legally recognized spouse of another, using the spouse’s real (non-alias) name.
  • E. spouseNameInJapanese
    Indicates that one entity’s spouse is named using Japanese script or Japanese-language conventions.
  • F. None of above. chosen

Provenance (7 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_69f76dcb716881909f75e4fd60ab2284 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fe349879848190bcd77e3cc3470458 completed May 8, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37b292134481908154ae4bb096c012 completed June 21, 2026, 9:44 a.m.
NEDg Description generation batch_6a37b37283f48190ac9d30605260de2f completed June 21, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_6a37b5345c088190b28e008ba62610da completed June 21, 2026, 9:56 a.m.
PD Predicate disambiguation batch_69fe31e3cf908190b23ebc2f7fe58722 completed May 8, 2026, 6:56 p.m.
PDg Predicate description generation batch_69fe349739cc8190a21c408208312e6c completed May 8, 2026, 7:08 p.m.
Created at: May 3, 2026, 4:01 p.m.