Triple

T9258445
Position Surface form Disambiguated ID Type / Status
Subject Ronny Hallin E222503 entity
Predicate notableWork P4 FINISHED
Object Making It
Making It is an American television series best known as a lighthearted crafting competition show co-hosted by Amy Poehler and Nick Offerman.
 E788928 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: Making It | Statement: [Ronny Hallin, notableWork, Making It]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Making It
Context triple: [Ronny Hallin, notableWork, Making It]
  • A. Make It New
    "Make It New" is Ezra Pound’s famous modernist slogan advocating radical innovation and a break from literary tradition in art and poetry.
  • B. Make It Happen
    "Make It Happen" is a song featured on the album *Emotions* by Mariah Carey.
  • C. Make It Better
    Make It Better is a component or subdivision associated with Ventura, likely focused on improvement or enhancement initiatives within that broader entity.
  • D. We’ll Make It
    We’ll Make It is a survivor perk in the asymmetric horror game Dead by Daylight that temporarily boosts healing speed after safely rescuing a teammate from a hook.
  • E. Make It Right
    Make It Right is the signature home-renovation philosophy and brand of contractor and TV personality Mike Holmes, emphasizing doing construction work correctly and ethically.
  • 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: Making It
Triple: [Ronny Hallin, notableWork, Making It]
Generated description
Making It is an American television series best known as a lighthearted crafting competition show co-hosted by Amy Poehler and Nick Offerman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Making It
Target entity description: Making It is an American television series best known as a lighthearted crafting competition show co-hosted by Amy Poehler and Nick Offerman.
  • A. Make It New
    "Make It New" is Ezra Pound’s famous modernist slogan advocating radical innovation and a break from literary tradition in art and poetry.
  • B. Make It Happen
    "Make It Happen" is a song featured on the album *Emotions* by Mariah Carey.
  • C. Make It Better
    Make It Better is a component or subdivision associated with Ventura, likely focused on improvement or enhancement initiatives within that broader entity.
  • D. We’ll Make It
    We’ll Make It is a survivor perk in the asymmetric horror game Dead by Daylight that temporarily boosts healing speed after safely rescuing a teammate from a hook.
  • E. Make It Right
    Make It Right is the signature home-renovation philosophy and brand of contractor and TV personality Mike Holmes, emphasizing doing construction work correctly and ethically.
  • 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0714317481908405f857a4f49e74 completed April 1, 2026, 11:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bf225608190ade085302946dd8f completed April 4, 2026, 5:04 a.m.
NEDg Description generation batch_69d09dc3ccb08190a70e278a67249070 completed April 4, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d09e3f211c819087b9e75f0d8faf93 completed April 4, 2026, 5:14 a.m.
Created at: March 30, 2026, 7:32 p.m.