Triple

T31257293
Position Surface form Disambiguated ID Type / Status
Subject Osceola E797011 entity
Predicate userNotableWork P4 FINISHED
Object Out of Africa
Out of Africa is a 1985 romantic drama film, based on Karen Blixen’s memoir, that portrays her years running a coffee plantation in colonial Kenya and her relationship with hunter Denys Finch Hatton.
 E43646 NE FINISHED

How this triple was built (3 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: Out of Africa | Statement: [Osceola, userNotableWork, Out of Africa]
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: Out of Africa
Triple: [Osceola, userNotableWork, Out of Africa]
Generated description
Out of Africa is a 1985 romantic drama film, based on Karen Blixen’s memoir, that portrays her years running a coffee plantation in colonial Kenya and her relationship with hunter Denys Finch Hatton.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: userNotableWork
Context triple: [Osceola, userNotableWork, Out of Africa]
  • A. notableWork chosen
    Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another entity.
  • B. notableWorkSetHere
    Indicates that a notable creative work is set in or takes place within the referenced location.
  • C. notableWorkWith
    Indicates a relationship where two or more entities are recognized for having collaborated on or been jointly associated with a significant work or project.
  • D. notableWorkAs
    Indicates a relationship where a particular work is recognized as a significant or distinguished creation associated with an entity.
  • E. notableWorkIn
    Indicates that an entity is known for or associated with a significant work, contribution, or achievement in a particular field or context.
  • F. None of above.

Provenance (6 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_69f224dd5fdc81908a4cd24917b67668 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69edbb7648190bd89c57e0932eac1 completed May 3, 2026, 1:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2ad2222c7c819089584ba33a3e32bc completed June 11, 2026, 3:20 p.m.
NEDg Description generation batch_6a2ad61d68288190a6cdfc1131501945 completed June 11, 2026, 3:37 p.m.
NED2 Entity disambiguation (via description) batch_6a2ae15e581c81909bb1cd58b50096d7 completed June 11, 2026, 4:25 p.m.
PD Predicate disambiguation batch_69f69d1bf8cc8190a78dfa5ab00daf3a completed May 3, 2026, 12:55 a.m.
Created at: April 29, 2026, 9:12 p.m.