Triple

T23295645
Position Surface form Disambiguated ID Type / Status
Subject Reba E590161 entity
Predicate starring P1507 FINISHED
Object Park Overall
Park Overall is an American actress best known for her sharp-tongued, comedic roles in television sitcoms and films.
E136010 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: Park Overall | Statement: [Reba, starring, Park Overall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Park Overall
Context triple: [Reba, starring, Park Overall]
  • A. Park
    Park is a common surname of Scottish origin borne by various notable individuals, including figures in early professional golf.
  • B. Home Park
    Home Park is a historic royal deer park and landscaped estate surrounding Windsor Castle in Berkshire, England.
  • C. Home Park
    Home Park is a football stadium in Plymouth, England, best known as the long-time home ground of Plymouth Argyle F.C.
  • D. Home Park
    Home Park is a historic royal deer park surrounding Hampton Court Palace in southwest London, known for its expansive lawns, wildlife, and formal landscapes.
  • E. Home Park
    Home Park is a football ground in Coldstream, Scotland, primarily used as the home venue of the local club Coldstream F.C.
  • 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: Park Overall
Triple: [Reba, starring, Park Overall]
Generated description
Park Overall is an American actress best known for her sharp-tongued, comedic roles in television sitcoms and films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Park Overall
Target entity description: Park Overall is an American actress best known for her sharp-tongued, comedic roles in television sitcoms and films.
  • A. Park Overall chosen
    Park Overall is an American actress best known for her sharp-tongued, comedic supporting roles in film and television, particularly in 1990s sitcoms.
  • B. Park
    Park is a common surname of Scottish origin borne by various notable individuals, including figures in early professional golf.
  • C. Home Park
    Home Park is a historic royal deer park and landscaped estate surrounding Windsor Castle in Berkshire, England.
  • D. Home Park
    Home Park is a football stadium in Plymouth, England, best known as the long-time home ground of Plymouth Argyle F.C.
  • E. Home Park
    Home Park is a football ground in Coldstream, Scotland, primarily used as the home venue of the local club Coldstream F.C.
  • F. None of above.

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_69e25d1af9d88190a0b9b5e8fa608618 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196cec9e88190b83cfd53a6455e0f completed April 29, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4c92b3f88190b4149ec072522e49 completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c4ef9dcc48190b0c0ca52555f5490 completed May 19, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0c506b25ec819084b9522fa827abe7 completed May 19, 2026, 11:58 a.m.
Created at: April 17, 2026, 5:03 p.m.