Triple

T32819816
Position Surface form Disambiguated ID Type / Status
Subject Kill Me Later E839404 entity
Predicate director P255 FINISHED
Object Ann Marie Fleming
Ann Marie Fleming is a Canadian independent filmmaker, writer, and animator known for her innovative, often autobiographical works that explore identity, memory, and diaspora.
E2170061 NE FINISHED

How this triple was built (2 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: Ann Marie Fleming | Statement: [Kill Me Later, director, Ann Marie Fleming]
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: Ann Marie Fleming
Triple: [Kill Me Later, director, Ann Marie Fleming]
Generated description
Ann Marie Fleming is a Canadian independent filmmaker, writer, and animator known for her innovative, often autobiographical works that explore identity, memory, and diaspora.

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_69f3493df9008190a8f5d843dcd77704 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cdd395988190bc7961fd5aab5d41 completed May 3, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a38dde459408190b102185449d10a35 completed June 22, 2026, 7:01 a.m.
NEDg Description generation batch_6a38f3daf5188190921d7e7cf19fd18a completed June 22, 2026, 8:35 a.m.
NED2 Entity disambiguation (via description) batch_6a38f513d3e88190aa25e33d93bf12a4 completed June 22, 2026, 8:40 a.m.
Created at: May 1, 2026, 1:15 a.m.