Triple

T1261886
Position Surface form Disambiguated ID Type / Status
Subject Blaise Pascal E12519 entity
Predicate givenName P17 FINISHED
Object Blaise
Blaise is a given name most famously borne by the French mathematician, physicist, and philosopher Blaise Pascal.
 E199250 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: Blaise | Statement: [Blaise Pascal, givenName, Blaise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blaise
Context triple: [Blaise Pascal, givenName, Blaise]
  • A. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • B. Élie
    Élie is a French given name most notably borne by the influential mathematician Élie Cartan.
  • C. Laurent
    Laurent is a Belgian prince, the younger son of King Albert II and Queen Paola, known for his environmental interests and occasional public controversies.
  • D. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • E. Michel
    Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
  • 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: Blaise
Triple: [Blaise Pascal, givenName, Blaise]
Generated description
Blaise is a given name most famously borne by the French mathematician, physicist, and philosopher Blaise Pascal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blaise
Target entity description: Blaise is a given name most famously borne by the French mathematician, physicist, and philosopher Blaise Pascal.
  • A. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • B. Élie
    Élie is a French given name most notably borne by the influential mathematician Élie Cartan.
  • C. Laurent
    Laurent is a Belgian prince, the younger son of King Albert II and Queen Paola, known for his environmental interests and occasional public controversies.
  • D. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • E. Michel
    Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc64e648190b9c4f980eb8168aa completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada95d71888190aa49a3011ea2a1bc completed March 8, 2026, 4:52 p.m.
NEDg Description generation batch_69adae972d1081909cd13e8220c3ccc6 completed March 8, 2026, 5:15 p.m.
NED2 Entity disambiguation (via description) batch_69adaf9d042481909dbd54d9e04e444e completed March 8, 2026, 5:19 p.m.
Created at: March 1, 2026, 7:50 p.m.