Triple

T13523707
Position Surface form Disambiguated ID Type / Status
Subject Nathan Gamble E322965 entity
Predicate notableWork P4 FINISHED
Object 25 Hill
25 Hill is a family drama film centered on a young boy and a grieving veteran who bond while building a soapbox derby car.
 E1045184 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: 25 Hill | Statement: [Nathan Gamble, notableWork, 25 Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 25 Hill
Context triple: [Nathan Gamble, notableWork, 25 Hill]
  • A. Churchill Towers
    Churchill Towers is a prominent twin-tower commercial and residential skyscraper complex located in Dubai’s Business Bay district.
  • B. Windsor Place
    Windsor Place is a residential street in Brooklyn, New York, located near Prospect Park and served by nearby subway access.
  • C. Coal Hill
    Coal Hill is an artificial hill and historic imperial garden located just north of the Forbidden City in Beijing, China.
  • D. Wellington Place
    Wellington Place is a central street in Belfast, Northern Ireland, known for its mix of commercial buildings, offices, and proximity to key civic landmarks.
  • E. Stephenson Place
    Stephenson Place is a central street or public area in Birmingham, England, known for its proximity to major city landmarks and transport links.
  • 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: 25 Hill
Triple: [Nathan Gamble, notableWork, 25 Hill]
Generated description
25 Hill is a family drama film centered on a young boy and a grieving veteran who bond while building a soapbox derby car.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 25 Hill
Target entity description: 25 Hill is a family drama film centered on a young boy and a grieving veteran who bond while building a soapbox derby car.
  • A. Churchill Towers
    Churchill Towers is a prominent twin-tower commercial and residential skyscraper complex located in Dubai’s Business Bay district.
  • B. Windsor Place
    Windsor Place is a residential street in Brooklyn, New York, located near Prospect Park and served by nearby subway access.
  • C. Coal Hill
    Coal Hill is an artificial hill and historic imperial garden located just north of the Forbidden City in Beijing, China.
  • D. Wellington Place
    Wellington Place is a central street in Belfast, Northern Ireland, known for its mix of commercial buildings, offices, and proximity to key civic landmarks.
  • E. Stephenson Place
    Stephenson Place is a central street or public area in Birmingham, England, known for its proximity to major city landmarks and transport links.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa535cc81908d0018fef81a2848 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7549c016c8190945a185b2bc20689 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f75574d25881908c6fdef3f35cba85 completed May 3, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69f7561f170c8190b12c79fbbe57ad91 completed May 3, 2026, 2:05 p.m.
Created at: April 9, 2026, 9:44 p.m.