Triple

T13550092
Position Surface form Disambiguated ID Type / Status
Subject Veronica Rawlings E323618 entity
Predicate formsGroupWith P16559 FINISHED
Object Belle
Belle is a character associated with Veronica Rawlings, likely part of the same central group in the crime drama film "Widows."
E323620 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: Belle | Statement: [Veronica Rawlings, formsGroupWith, Belle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belle
Context triple: [Veronica Rawlings, formsGroupWith, Belle]
  • A. Belle
    Belle is a supporting character in the 2018 heist thriller film "Widows," involved in the criminal plot led by a group of women in Chicago.
  • B. Belle
    Belle is a British television drama film featuring Thomas Geoffrey Wilkinson in a prominent role.
  • C. Belle
    Belle is the intelligent, book-loving heroine of Disney’s "Beauty and the Beast," known for her compassion, independence, and iconic yellow ball gown.
  • D. Belle
    Belle is the official mascot character representing Bennett College and its community spirit.
  • E. Belle
    Belle is the given name of Belle W. Baruch, an American philanthropist, conservationist, and heiress to the Baruch family fortune.
  • 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: Belle
Triple: [Veronica Rawlings, formsGroupWith, Belle]
Generated description
Belle is a character associated with Veronica Rawlings, likely part of the same central group in the crime drama film "Widows."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Belle
Target entity description: Belle is a character associated with Veronica Rawlings, likely part of the same central group in the crime drama film "Widows."
  • A. Belle chosen
    Belle is a supporting character in the 2018 heist thriller film "Widows," involved in the criminal plot led by a group of women in Chicago.
  • B. Belle
    Belle is a British television drama film featuring Thomas Geoffrey Wilkinson in a prominent role.
  • C. Belle
    Belle is the intelligent, book-loving heroine of Disney’s "Beauty and the Beast," known for her compassion, independence, and iconic yellow ball gown.
  • D. Belle
    Belle is the official mascot character representing Bennett College and its community spirit.
  • E. Belle
    Belle is the given name of Belle W. Baruch, an American philanthropist, conservationist, and heiress to the Baruch family fortune.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafdcecf481909999a173b32a58cd completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da4e19c819090d649b60a2dd410 completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75ec5101081909652b0c0998b36c8 completed May 3, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69f75f4a3b0c81908c0ca0351771953b completed May 3, 2026, 2:44 p.m.
Created at: April 9, 2026, 9:46 p.m.