Triple

T19452557
Position Surface form Disambiguated ID Type / Status
Subject David Kohan E486647 entity
Predicate coCreatorOf P806 FINISHED
Object Twins
Twins is an American television series co-created by David Kohan that centers on the contrasting lives and personalities of a pair of twin sisters.
E1377570 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: Twins | Statement: [David Kohan, coCreatorOf, Twins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Twins
Context triple: [David Kohan, coCreatorOf, Twins]
  • A. Twins
    "Twins" is a 2012 garage rock and psychedelic album by American musician Ty Segall, known for its fuzz-heavy sound and prolific, lo-fi aesthetic.
  • B. Twins
    Twins is a 1988 comedy film starring Arnold Schwarzenegger and Danny DeVito as genetically engineered twin brothers with wildly contrasting personalities.
  • C. Twins
    The Twins are a Major League Baseball team based in Minneapolis, Minnesota, known officially as the Minnesota Twins.
  • D. Twins
    "Twins" is a notable work by Donald Yearnsley Wilson, recognized as one of his significant creative contributions.
  • E. Twins
    Twins is a popular Cantopop female duo from Hong Kong, known for their catchy pop songs and significant influence on the region’s youth culture since the early 2000s.
  • 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: Twins
Triple: [David Kohan, coCreatorOf, Twins]
Generated description
Twins is an American television series co-created by David Kohan that centers on the contrasting lives and personalities of a pair of twin sisters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Twins
Target entity description: Twins is an American television series co-created by David Kohan that centers on the contrasting lives and personalities of a pair of twin sisters.
  • A. Twins chosen
    "Twins" is a television series created by David Kohan, best known for its comedic exploration of sibling relationships and contrasting personalities.
  • B. Twins
    The Twins are a Major League Baseball team based in Minneapolis, Minnesota, known officially as the Minnesota Twins.
  • C. Twins
    Twins is a 1988 comedy film starring Arnold Schwarzenegger and Danny DeVito as genetically engineered twin brothers with wildly contrasting personalities.
  • D. Twins
    "Twins" is a notable work by Donald Yearnsley Wilson, recognized as one of his significant creative contributions.
  • E. Twins
    Twins is a popular Cantopop female duo from Hong Kong, known for their catchy pop songs and significant influence on the region’s youth culture since the early 2000s.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63392aab08190aab09b7c356e5b10 completed April 20, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074049b9e88190a9ab6742d6ff3df7 completed May 15, 2026, 3:48 p.m.
NEDg Description generation batch_6a0741651ba48190b8eb6336afbbc4af completed May 15, 2026, 3:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0741e454a48190ac03aa458ca2b3b3 completed May 15, 2026, 3:55 p.m.
Created at: April 10, 2026, 1:38 p.m.