Triple

T14540723
Position Surface form Disambiguated ID Type / Status
Subject Zaba E341160 entity
Predicate hasPart P35 FINISHED
Object Flip
Flip is a component or feature that forms part of the larger system or entity known as Zaba.
 E1104059 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: Flip | Statement: [Zaba, hasPart, Flip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Flip
Context triple: [Zaba, hasPart, Flip]
  • A. Mr. Flip
    Mr. Flip is a 1909 silent comedy short film starring cross-eyed comedian Ben Turpin, often cited for featuring one of the earliest known instances of a pie-in-the-face gag in cinema.
  • B. Flipt
    Flipt is a casual dining restaurant located inside Rivers Casino Des Plaines, known for serving classic American comfort food like burgers and sandwiches.
  • C. Flucker
    Flucker is the surname of Lucy Flucker Knox, the American Revolutionary War-era figure and wife of Continental Army General Henry Knox.
  • D. Flo
    Flo was one of Jane Goodall’s most famous Gombe chimpanzees, known as a highly influential matriarch whose life and family were central to long-term studies of chimpanzee behavior and social structure.
  • E. Flo
    Flo is a supporting character in Pixar's "Cars" franchise, known as the stylish turquoise show car who runs Flo's V8 Café in Radiator Springs.
  • 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: Flip
Triple: [Zaba, hasPart, Flip]
Generated description
Flip is a component or feature that forms part of the larger system or entity known as Zaba.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Flip
Target entity description: Flip is a component or feature that forms part of the larger system or entity known as Zaba.
  • A. Mr. Flip
    Mr. Flip is a 1909 silent comedy short film starring cross-eyed comedian Ben Turpin, often cited for featuring one of the earliest known instances of a pie-in-the-face gag in cinema.
  • B. Flipt
    Flipt is a casual dining restaurant located inside Rivers Casino Des Plaines, known for serving classic American comfort food like burgers and sandwiches.
  • C. Flucker
    Flucker is the surname of Lucy Flucker Knox, the American Revolutionary War-era figure and wife of Continental Army General Henry Knox.
  • D. Flo
    Flo was one of Jane Goodall’s most famous Gombe chimpanzees, known as a highly influential matriarch whose life and family were central to long-term studies of chimpanzee behavior and social structure.
  • E. Flo
    Flo is a supporting character in Pixar's "Cars" franchise, known as the stylish turquoise show car who runs Flo's V8 Café in Radiator Springs.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bd0dd4819094c8b2f2aa6b1c5e completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a5cca788190aa8762d860c78721 completed May 8, 2026, 5:53 a.m.
NEDg Description generation batch_69fd7b1452d48190b95187cc6b6e5b6a completed May 8, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69fd7b9387988190abb20ea06c04d6cc completed May 8, 2026, 5:58 a.m.
Created at: April 10, 2026, 1:22 a.m.