Triple

T1636412
Position Surface form Disambiguated ID Type / Status
Subject Red Hat Satellite E35367 entity
Predicate usesComponent P35 FINISHED
Object Foreman
Foreman is an open-source lifecycle management and provisioning tool for physical and virtual servers, commonly used to automate system configuration and deployment.
 E184338 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: Foreman | Statement: [Red Hat Satellite, usesComponent, Foreman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Foreman
Context triple: [Red Hat Satellite, usesComponent, Foreman]
  • A. Flynt
    Flynt is the middle name of William Flynt Nichols, an American politician who served as a U.S. Representative from Alabama.
  • B. Freeman
    Freeman Dyson was a renowned theoretical physicist and mathematician known for his work in quantum electrodynamics, solid-state physics, and futurist writings.
  • C. Freeman
    Freeman is the individual after whom the Freeman Scholar Award is named, recognized for significant contributions in their field that inspired the creation of this honor.
  • D. Freeman
    Freeman is a common English surname borne by numerous notable individuals, including acclaimed American actor and narrator Morgan Freeman.
  • E. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • 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: Foreman
Triple: [Red Hat Satellite, usesComponent, Foreman]
Generated description
Foreman is an open-source lifecycle management and provisioning tool for physical and virtual servers, commonly used to automate system configuration and deployment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Foreman
Target entity description: Foreman is an open-source lifecycle management and provisioning tool for physical and virtual servers, commonly used to automate system configuration and deployment.
  • A. Flynt
    Flynt is the middle name of William Flynt Nichols, an American politician who served as a U.S. Representative from Alabama.
  • B. Freeman
    Freeman Dyson was a renowned theoretical physicist and mathematician known for his work in quantum electrodynamics, solid-state physics, and futurist writings.
  • C. Freeman
    Freeman is the individual after whom the Freeman Scholar Award is named, recognized for significant contributions in their field that inspired the creation of this honor.
  • D. Freeman
    Freeman is a common English surname borne by numerous notable individuals, including acclaimed American actor and narrator Morgan Freeman.
  • E. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a17e8e08190afb78a953ab920ec completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58dbd0608190be207ab2bcdc9eef completed March 8, 2026, 11:09 a.m.
NEDg Description generation batch_69ad5a625d088190bbacbb69a0569d49 completed March 8, 2026, 11:15 a.m.
NED2 Entity disambiguation (via description) batch_69ad5ae605f88190b5e42d7cf923e9bb completed March 8, 2026, 11:17 a.m.
Created at: March 4, 2026, 7:28 p.m.