Triple

T2308131
Position Surface form Disambiguated ID Type / Status
Subject Annie Hall E51888 entity
Predicate editedBy P1954 FINISHED
Object Wendy Greene Bricmont
Wendy Greene Bricmont is an American film editor best known for her work on influential films such as Woody Allen’s "Annie Hall."
 E252830 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: Wendy Greene Bricmont | Statement: [Annie Hall, editedBy, Wendy Greene Bricmont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wendy Greene Bricmont
Context triple: [Annie Hall, editedBy, Wendy Greene Bricmont]
  • A. Wendy Hall
    Wendy Hall is a pioneering British computer scientist and professor known for her influential work in hypermedia, the World Wide Web, and web science.
  • B. Wendy Steiner
    Wendy Steiner is an American literary critic and scholar known for her influential work on aesthetics, modernism, and the relationship between visual art and literature.
  • C. Wendy Cheesman
    Wendy Cheesman was a British architect and the first wife and early professional collaborator of renowned architect Norman Foster.
  • D. Beth Greene
    Beth Greene is a gentle yet resilient young survivor and aspiring singer from the television series "The Walking Dead."
  • E. Sandra Lovelock
    Sandra Lovelock is known as the wife of British scientist James Lovelock, the originator of the Gaia hypothesis.
  • 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: Wendy Greene Bricmont
Triple: [Annie Hall, editedBy, Wendy Greene Bricmont]
Generated description
Wendy Greene Bricmont is an American film editor best known for her work on influential films such as Woody Allen’s "Annie Hall."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wendy Greene Bricmont
Target entity description: Wendy Greene Bricmont is an American film editor best known for her work on influential films such as Woody Allen’s "Annie Hall."
  • A. Wendy Hall
    Wendy Hall is a pioneering British computer scientist and professor known for her influential work in hypermedia, the World Wide Web, and web science.
  • B. Wendy Steiner
    Wendy Steiner is an American literary critic and scholar known for her influential work on aesthetics, modernism, and the relationship between visual art and literature.
  • C. Wendy Cheesman
    Wendy Cheesman was a British architect and the first wife and early professional collaborator of renowned architect Norman Foster.
  • D. Beth Greene
    Beth Greene is a gentle yet resilient young survivor and aspiring singer from the television series "The Walking Dead."
  • E. Sandra Lovelock
    Sandra Lovelock is known as the wife of British scientist James Lovelock, the originator of the Gaia hypothesis.
  • 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc605cf808190a326e6c78e3f9166 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f379bbc8190b085b82e2e16401e completed March 9, 2026, 8:05 a.m.
NEDg Description generation batch_69ae8005a5688190b3ef308b55d377e7 completed March 9, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69ae80c51b548190b44d6484b7644b1c completed March 9, 2026, 8:11 a.m.
Created at: March 4, 2026, 7:49 p.m.