Triple

T7666007
Position Surface form Disambiguated ID Type / Status
Subject Charles E. Leiserson E173624 entity
Predicate familyName P18 FINISHED
Object Leiserson
Leiserson is the surname of Charles E. Leiserson, a prominent computer scientist known for his work on algorithms, parallel computing, and the Cilk multithreaded programming language.
 E679884 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: Leiserson | Statement: [Charles E. Leiserson, familyName, Leiserson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leiserson
Context triple: [Charles E. Leiserson, familyName, Leiserson]
  • A. Lohse
    Lohse is a German surname borne by various notable individuals in fields such as science, sports, and the arts.
  • B. Leahey
    Leahey is a surname variant of Leahy, an Irish family name of Gaelic origin.
  • C. Luetkemeyer
    Luetkemeyer is the birth surname of American actress Julie Bowen, known for her roles in television and film.
  • D. Lewis
    "Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
  • E. Lewis
    Lewis is a masculine given name of English origin, commonly used in English-speaking countries.
  • 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: Leiserson
Triple: [Charles E. Leiserson, familyName, Leiserson]
Generated description
Leiserson is the surname of Charles E. Leiserson, a prominent computer scientist known for his work on algorithms, parallel computing, and the Cilk multithreaded programming language.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leiserson
Target entity description: Leiserson is the surname of Charles E. Leiserson, a prominent computer scientist known for his work on algorithms, parallel computing, and the Cilk multithreaded programming language.
  • A. Lohse
    Lohse is a German surname borne by various notable individuals in fields such as science, sports, and the arts.
  • B. Leahey
    Leahey is a surname variant of Leahy, an Irish family name of Gaelic origin.
  • C. Luetkemeyer
    Luetkemeyer is the birth surname of American actress Julie Bowen, known for her roles in television and film.
  • D. Lewis
    "Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
  • E. Lewis
    Lewis is a masculine given name of English origin, commonly used in English-speaking countries.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c1383c8190ab5bf803bd6211a9 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b1fdccc8190a69b4745dc3b2347 completed March 29, 2026, 3:23 a.m.
NEDg Description generation batch_69c89d513af88190b453bf3bf1adcbfb completed March 29, 2026, 3:32 a.m.
NED2 Entity disambiguation (via description) batch_69c89ddd81a88190924d41529e94b06b completed March 29, 2026, 3:34 a.m.
Created at: March 27, 2026, 4 p.m.