Triple

T23400711
Position Surface form Disambiguated ID Type / Status
Subject Võ Thị Sáu E559496 entity
Predicate givenName P17 FINISHED
Object Sáu
Sáu is the given name of Vietnamese national heroine Võ Thị Sáu, renowned for her resistance activities against French colonial rule.
 E1583741 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: Sáu | Statement: [Võ Thị Sáu, givenName, Sáu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sáu
Context triple: [Võ Thị Sáu, givenName, Sáu]
  • A. Tiga
    Tiga is a Canadian DJ and electronic music producer known for his influential work in techno and electro house.
  • B. Sevelen
    Sevelen is a municipality in the canton of St. Gallen in northeastern Switzerland, located in the Rhine Valley near the border with Liechtenstein.
  • C. Tse-ven
    Tse-ven is the given name of T. V. Soong, a prominent Chinese politician and financier who served as a key economic and diplomatic figure for the Republic of China in the early 20th century.
  • D. Navaar
    Navaar is a prominent Tellarite figure from the Star Trek universe, recognized for her political influence and involvement in interstellar diplomacy.
  • E. Shua
    Shua is a biblical figure mentioned in genealogical records as a sibling of Shobab.
  • 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: Sáu
Triple: [Võ Thị Sáu, givenName, Sáu]
Generated description
Sáu is the given name of Vietnamese national heroine Võ Thị Sáu, renowned for her resistance activities against French colonial rule.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sáu
Target entity description: Sáu is the given name of Vietnamese national heroine Võ Thị Sáu, renowned for her resistance activities against French colonial rule.
  • A. Tiga
    Tiga is a Canadian DJ and electronic music producer known for his influential work in techno and electro house.
  • B. Sevelen
    Sevelen is a municipality in the canton of St. Gallen in northeastern Switzerland, located in the Rhine Valley near the border with Liechtenstein.
  • C. Tse-ven
    Tse-ven is the given name of T. V. Soong, a prominent Chinese politician and financier who served as a key economic and diplomatic figure for the Republic of China in the early 20th century.
  • D. Navaar
    Navaar is a prominent Tellarite figure from the Star Trek universe, recognized for her political influence and involvement in interstellar diplomacy.
  • E. Shua
    Shua is a biblical figure mentioned in genealogical records as a sibling of Shobab.
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4dfa4c881908df0eced4855c0d9 completed April 29, 2026, 6:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5df194bc819084aa4de85966c68f completed May 19, 2026, 12:56 p.m.
NEDg Description generation batch_6a0c5f52fe308190b87c53f9a9d915e0 completed May 19, 2026, 1:02 p.m.
NED2 Entity disambiguation (via description) batch_6a0c5ffbea40819088a5a01a3763c718 completed May 19, 2026, 1:05 p.m.
Created at: April 17, 2026, 5:37 p.m.