Triple

T13353
Position Surface form Disambiguated ID Type / Status
Subject Abraham Lincoln E268 entity
Predicate givenName P17 FINISHED
Object Abraham
Abraham is the given name of Abraham Lincoln, the 16th president of the United States who led the country through the Civil War and abolished slavery.
 E1482 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: Abraham | Statement: [Abraham Lincoln, givenName, Abraham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abraham
Context triple: [Abraham Lincoln, givenName, Abraham]
  • A. Avram
    Avram is the given first name of Noam Chomsky, the influential American linguist, philosopher, and political activist.
  • B. Joseph
    Joseph is the first name of J. C. R. Licklider, a pioneering computer scientist often regarded as a key figure in the development of the internet and interactive computing.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • E. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • 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: Abraham
Triple: [Abraham Lincoln, givenName, Abraham]
Generated description
Abraham is the given name of Abraham Lincoln, the 16th president of the United States who led the country through the Civil War and abolished slavery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abraham
Target entity description: Abraham is the given name of Abraham Lincoln, the 16th president of the United States who led the country through the Civil War and abolished slavery.
  • A. Avram
    Avram is the given first name of Noam Chomsky, the influential American linguist, philosopher, and political activist.
  • B. Joseph
    Joseph is the first name of J. C. R. Licklider, a pioneering computer scientist often regarded as a key figure in the development of the internet and interactive computing.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • E. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a240014418819090625e2fb774a2e6 completed Feb. 28, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a248e3cd308190be7f51f817d4e2b2 completed Feb. 28, 2026, 1:46 a.m.
NEDg Description generation batch_69a24b1994608190a9bd8125e52f05a3 completed Feb. 28, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69a24b7f1f9c8190b93a72a7bba81eb1 completed Feb. 28, 2026, 1:57 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.