Triple

T12248575
Position Surface form Disambiguated ID Type / Status
Subject President of Haiti E291912 entity
Predicate positionHeldBy P8 FINISHED
Object Tirésias Simon Sam
Tirésias Simon Sam was a late 19th-century Haitian military officer and statesman who led the country during a period of relative political stability and modernization.
 E968818 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: Tirésias Simon Sam | Statement: [President of Haiti, positionHeldBy, Tirésias Simon Sam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tirésias Simon Sam
Context triple: [President of Haiti, positionHeldBy, Tirésias Simon Sam]
  • A. Siméon
    Siméon is the given name of Siméon Denis Poisson, the influential French mathematician and physicist known for major contributions to probability theory and mathematical physics.
  • B. Blaise
    The Blaise is a small river in northern France that flows through the Eure department as one of its tributaries.
  • C. Blaise
    Blaise is a river in northeastern France that flows through the Haute-Marne department.
  • D. Blaise
    Blaise is a given name most famously borne by the French mathematician, physicist, and philosopher Blaise Pascal.
  • E. Paulin Talabot
    Paulin Talabot was a 19th-century French engineer, entrepreneur, and banker who played a key role in developing France’s railway network and later helped establish major financial institutions.
  • 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: Tirésias Simon Sam
Triple: [President of Haiti, positionHeldBy, Tirésias Simon Sam]
Generated description
Tirésias Simon Sam was a late 19th-century Haitian military officer and statesman who led the country during a period of relative political stability and modernization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tirésias Simon Sam
Target entity description: Tirésias Simon Sam was a late 19th-century Haitian military officer and statesman who led the country during a period of relative political stability and modernization.
  • A. Siméon
    Siméon is the given name of Siméon Denis Poisson, the influential French mathematician and physicist known for major contributions to probability theory and mathematical physics.
  • B. Blaise
    The Blaise is a small river in northern France that flows through the Eure department as one of its tributaries.
  • C. Blaise
    Blaise is a river in northeastern France that flows through the Haute-Marne department.
  • D. Blaise
    Blaise is a given name most famously borne by the French mathematician, physicist, and philosopher Blaise Pascal.
  • E. Paulin Talabot
    Paulin Talabot was a 19th-century French engineer, entrepreneur, and banker who played a key role in developing France’s railway network and later helped establish major financial institutions.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc50d808190a3c8d1ada31a6a91 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab9a9b08190903c1ce6d91af2b5 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60bde9b0c81908df8207a8b6530af completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60c99de9881909ef87b878ac346fc completed May 2, 2026, 2:39 p.m.
Created at: April 8, 2026, 9:52 p.m.