Triple

T18301062
Position Surface form Disambiguated ID Type / Status
Subject Optax E438357 entity
Predicate providesOptimizer P56342 FINISHED
Object adam
Adam is a popular stochastic gradient-based optimization algorithm that adapts learning rates for individual parameters using estimates of first and second moments of gradients.
 E1317500 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: adam | Statement: [Optax, providesOptimizer, adam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: adam
Context triple: [Optax, providesOptimizer, adam]
  • A. ADAM
    ADAM is the former name for Microsoft’s lightweight, standalone directory service now known as Active Directory Lightweight Directory Services (AD LDS), used for directory-enabled applications without requiring a full Active Directory domain.
  • B. Adam
    Adam is a common surname of Scottish and English origin, borne by various notable individuals including architects, politicians, and artists.
  • C. Adam
    Adam is an individual known primarily as the husband of Ruma.
  • D. Adam
    Adam is a young, inexperienced stripper who is mentored and drawn into the world of male entertainment in the film "Magic Mike."
  • E. Adam
    Adam is a powerful part-demon, part-human, part-machine cyborg and one of the main antagonists in the TV series "Buffy the Vampire Slayer."
  • 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: adam
Triple: [Optax, providesOptimizer, adam]
Generated description
Adam is a popular stochastic gradient-based optimization algorithm that adapts learning rates for individual parameters using estimates of first and second moments of gradients.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: adam
Target entity description: Adam is a popular stochastic gradient-based optimization algorithm that adapts learning rates for individual parameters using estimates of first and second moments of gradients.
  • A. ADAM
    ADAM is the former name for Microsoft’s lightweight, standalone directory service now known as Active Directory Lightweight Directory Services (AD LDS), used for directory-enabled applications without requiring a full Active Directory domain.
  • B. Adam
    Adam is a common surname of Scottish and English origin, borne by various notable individuals including architects, politicians, and artists.
  • C. Adam
    Adam is an individual known primarily as the husband of Ruma.
  • D. Adam
    Adam is a young, inexperienced stripper who is mentored and drawn into the world of male entertainment in the film "Magic Mike."
  • E. Adam
    Adam is a powerful part-demon, part-human, part-machine cyborg and one of the main antagonists in the TV series "Buffy the Vampire Slayer."
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5017f63dc819083a675d570620f2f completed April 19, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03bb5e1fb481908a0b98ea130eda71 completed May 12, 2026, 11:44 p.m.
NEDg Description generation batch_6a03bdb3fb3c819095192ac49e809f55 completed May 12, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_6a03c193a0a08190b33d80d45f3ed0f0 completed May 13, 2026, 12:10 a.m.
Created at: April 10, 2026, 10:35 a.m.