Triple

T4981960
Position Surface form Disambiguated ID Type / Status
Subject Emilie Todd Helm E111907 entity
Predicate familyName P18 FINISHED
Object Helm
Helm is a surname of Germanic origin borne by various notable individuals, including members of prominent American families.
 E485618 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: Helm | Statement: [Emilie Todd Helm, familyName, Helm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Helm
Context triple: [Emilie Todd Helm, familyName, Helm]
  • A. Helm
    Helm is a popular package manager for Kubernetes that simplifies defining, installing, and upgrading complex containerized applications using reusable charts.
  • B. Helikon
    Helikon is a mountain in Greek mythology, often associated with the Muses and poetic inspiration.
  • C. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • D. Aegis
    Aegis is a distributed, capability-based operating system developed at MIT in the 1980s, known for its fine-grained security model and use in the Apollo/Domain workstation environment.
  • E. Aegis
    Aegis is an EVE Online expansion that introduced significant changes to sovereignty warfare and null-sec control mechanics.
  • 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: Helm
Triple: [Emilie Todd Helm, familyName, Helm]
Generated description
Helm is a surname of Germanic origin borne by various notable individuals, including members of prominent American families.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Helm
Target entity description: Helm is a surname of Germanic origin borne by various notable individuals, including members of prominent American families.
  • A. Helm
    Helm is a popular package manager for Kubernetes that simplifies defining, installing, and upgrading complex containerized applications using reusable charts.
  • B. Helikon
    Helikon is a mountain in Greek mythology, often associated with the Muses and poetic inspiration.
  • C. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • D. Aegis
    Aegis is a distributed, capability-based operating system developed at MIT in the 1980s, known for its fine-grained security model and use in the Apollo/Domain workstation environment.
  • E. Aegis
    Aegis is an EVE Online expansion that introduced significant changes to sovereignty warfare and null-sec control mechanics.
  • 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd725310088190a44b5c02658edc52 completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a13f5448190a49f914d1ba49a7a completed March 21, 2026, 12:07 p.m.
NEDg Description generation batch_69be8a9c72848190978797a33d0d83c8 completed March 21, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69be8b3718288190b2fc319fdad0a7c0 completed March 21, 2026, 12:12 p.m.
Created at: March 20, 2026, 1:33 p.m.