Triple

T36201158
Position Surface form Disambiguated ID Type / Status
Subject Stand Up E1047263 entity
Predicate originallyFromFilm P144454 FINISHED
Object Harriet
Harriet is a biographical drama film about abolitionist Harriet Tubman, chronicling her escape from slavery and her work leading others to freedom via the Underground Railroad.
 E545946 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: Harriet | Statement: [Stand Up, originallyFromFilm, Harriet]
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: Harriet
Triple: [Stand Up, originallyFromFilm, Harriet]
Generated description
Harriet is a biographical drama film about abolitionist Harriet Tubman, chronicling her escape from slavery and her work leading others to freedom via the Underground Railroad.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: originallyFromFilm
Context triple: [Stand Up, originallyFromFilm, Harriet]
  • A. isFromFilm chosen
    Indicates that something (such as a quote, character, scene, or element) originates from or appears in a particular film.
  • B. filmedFrom
    Indicates that one entity serves as the physical or conceptual vantage point or recording source from which another entity (such as a scene, object, or event) is filmed.
  • C. originatesInFilmIndustry
    Indicates that something has its source, development, or primary origin within the film industry.
  • D. basedInFilm
    Indicates that something (such as a character, event, or work) is situated, set, or primarily located within the context or universe of a particular film.
  • E. notableOriginalFilm
    Indicates that a work is the original film from which another work (such as a remake, adaptation, or related production) is derived or notably based.
  • 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_69f76e414bdc8190996f15a544220a3d completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c8d06cc8190ab6a5e18d9d2571e completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39341d297081908de8a4539e9e7dad completed June 22, 2026, 1:09 p.m.
NEDg Description generation batch_6a393ca2948081908a01036b713cd2ff completed June 22, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_6a393d5557ac81909e29b52e02e63875 completed June 22, 2026, 1:49 p.m.
PD Predicate disambiguation batch_6a037a0a54cc8190868c1bfa1590d1a6 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:08 p.m.