Triple

T34146763
Position Surface form Disambiguated ID Type / Status
Subject Alexandra Paul E875879 entity
Predicate appearedInTVMovie P195508 FINISHED
Object Death Train
Death Train is a 1993 action-thriller television film, based on an Alistair MacLean story, about a hijacked train carrying a nuclear bomb across Europe.
 E2084111 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: Death Train | Statement: [Alexandra Paul, appearedInTVMovie, Death Train]
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: Death Train
Triple: [Alexandra Paul, appearedInTVMovie, Death Train]
Generated description
Death Train is a 1993 action-thriller television film, based on an Alistair MacLean story, about a hijacked train carrying a nuclear bomb across Europe.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: appearedInTVMovie
Context triple: [Alexandra Paul, appearedInTVMovie, Death Train]
  • A. appearedInEpisodeOf
    Indicates that one entity made an appearance in a specific episode belonging to a television or radio series associated with the other entity.
  • B. appearsInAdaptationBy
    Indicates that an entity is featured or present in an adaptation created by a specified adapter (e.g., author, director, or studio).
  • C. isPortrayedIn
    Indicates that an entity is depicted or represented within a particular work, medium, or portrayal.
  • D. laterDepictedIn
    Indicates that an entity is portrayed or represented in a depiction (such as an image, artwork, or illustration) that was created at a later time than the entity itself.
  • E. portrayedInFranchise
    Indicates that an entity is depicted as a character or element within a specific media franchise.
  • F. None of above. chosen

Provenance (7 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_69f349abaa508190a820f206620efddc completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fdd5fba5048190b7d430ae2054a1fd completed May 8, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36c1c6d8308190b840cf440b76c92e completed June 20, 2026, 4:37 p.m.
NEDg Description generation batch_6a36c2e1be00819083470c7cc298eab4 completed June 20, 2026, 4:42 p.m.
NED2 Entity disambiguation (via description) batch_6a36c4729f188190b4a5558b840d8506 completed June 20, 2026, 4:48 p.m.
PD Predicate disambiguation batch_69fdd35f76f88190a1854ea27132f9c7 completed May 8, 2026, 12:13 p.m.
PDg Predicate description generation batch_69fdd5faea908190a17d77e050362ef5 completed May 8, 2026, 12:24 p.m.
Created at: May 1, 2026, 1:54 a.m.