Triple

T7754805
Position Surface form Disambiguated ID Type / Status
Subject 27 Dresses E175864 entity
Predicate character P662 FINISHED
Object Casey
Casey is a witty, outspoken best friend character in the romantic comedy film "27 Dresses," known for providing comic relief and candid advice to the protagonist.
 E686522 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: Casey | Statement: [27 Dresses, character, Casey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Casey
Context triple: [27 Dresses, character, Casey]
  • A. Casey
    Casey is the given name of American actor and filmmaker Casey Affleck, known for his roles in films such as "Manchester by the Sea."
  • B. Casey
    Casey is an Australian Antarctic research station located in the Australian Antarctic Territory.
  • C. Casey
    Casey is a common Irish-origin surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
  • D. Casey
    Casey is a residential suburb in the Canberra region of the Australian Capital Territory.
  • E. Casey Cole
    Casey Cole is one of the children of legendary American jazz pianist and singer Nat King Cole.
  • 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: Casey
Triple: [27 Dresses, character, Casey]
Generated description
Casey is a witty, outspoken best friend character in the romantic comedy film "27 Dresses," known for providing comic relief and candid advice to the protagonist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Casey
Target entity description: Casey is a witty, outspoken best friend character in the romantic comedy film "27 Dresses," known for providing comic relief and candid advice to the protagonist.
  • A. Casey
    Casey is the given name of American actor and filmmaker Casey Affleck, known for his roles in films such as "Manchester by the Sea."
  • B. Casey
    Casey is an Australian Antarctic research station located in the Australian Antarctic Territory.
  • C. Casey
    Casey is a common Irish-origin surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
  • D. Casey
    Casey is a residential suburb in the Canberra region of the Australian Capital Territory.
  • E. Casey Cole
    Casey Cole is one of the children of legendary American jazz pianist and singer Nat King Cole.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703d851d4819091e9117d3f34cb9a completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be5dbf5881908d07d70c8ae061a5 completed March 29, 2026, 5:53 a.m.
NEDg Description generation batch_69c8bfc8256081908a6ae947d783f19f completed March 29, 2026, 5:59 a.m.
NED2 Entity disambiguation (via description) batch_69c8c02e7a548190b2c5ad84e4c3f1fb completed March 29, 2026, 6:01 a.m.
Created at: March 27, 2026, 4:08 p.m.