Triple

T240062
Position Surface form Disambiguated ID Type / Status
Subject Le Duc Tho E4910 entity
Predicate familyName P18 FINISHED
Object Le
Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
 E31362 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: Le | Statement: [Le Duc Tho, familyName, Le]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Le
Context triple: [Le Duc Tho, familyName, Le]
  • A. El
    El is the common nickname for Philadelphia’s elevated Market–Frankford rapid transit line operated by SEPTA.
  • B. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • C. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • D. DL
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • E. Lek
    The Lek is a major distributary branch of the Rhine River in the Netherlands, playing an important role in the country’s inland waterway network and flood management system.
  • 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: Le
Triple: [Le Duc Tho, familyName, Le]
Generated description
Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Le
Target entity description: Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • A. El
    El is the common nickname for Philadelphia’s elevated Market–Frankford rapid transit line operated by SEPTA.
  • B. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • C. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • D. DL
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • E. Lek
    The Lek is a major distributary branch of the Rhine River in the Netherlands, playing an important role in the country’s inland waterway network and flood management system.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25ceaecdc81909e9ff49cb6a4e02a completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36960563881908ef098239cd87291 completed Feb. 28, 2026, 10:17 p.m.
NEDg Description generation batch_69a369d2b56c8190a6381b2da3e42e18 completed Feb. 28, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69a36a9f31408190b8f0e8273ff3a298 completed Feb. 28, 2026, 10:22 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.