Triple

T31692597
Position Surface form Disambiguated ID Type / Status
Subject Nikolai Wolf E808831 entity
Predicate targetOfRitual P149215 FINISHED
Object Jennifer Check
Jennifer Check is the demonic, man-eating high school cheerleader portrayed by Megan Fox in the 2009 horror-comedy film "Jennifer's Body."
 E807898 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: Jennifer Check | Statement: [Nikolai Wolf, targetOfRitual, Jennifer Check]
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: Jennifer Check
Triple: [Nikolai Wolf, targetOfRitual, Jennifer Check]
Generated description
Jennifer Check is the demonic, man-eating high school cheerleader portrayed by Megan Fox in the 2009 horror-comedy film "Jennifer's Body."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: targetOfRitual
Context triple: [Nikolai Wolf, targetOfRitual, Jennifer Check]
  • A. hasRitualGoal
    Indicates that an action, practice, or ritual is performed with the specific purpose of achieving a particular ritualistic outcome or objective.
  • B. ritualsDirectedAt chosen
    Indicates that certain rituals are performed with a specific entity, object, or target as their intended focus or recipient.
  • C. targetedDeity
    Indicates that an action, event, or entity is specifically directed toward or aimed at a particular deity.
  • D. appearsInRitual
    Indicates that an entity is included, featured, or participates as a component or element within a specific ritual.
  • E. hasRitualFocus
    Indicates that an entity is associated with or directed toward a particular object, practice, or element that serves as the central focus of a ritual.
  • 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_69f348ddcbc48190950cabcc25ff29b3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fd9ff026a48190bfec33deeb3b2c43 completed May 8, 2026, 8:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e8a1925788190b93fd88116391842 completed June 14, 2026, 11:01 a.m.
NEDg Description generation batch_6a2e8aba8d9481908df3439168b0f62f completed June 14, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_6a2e8b6f6f2c819098e1787c61964edd completed June 14, 2026, 11:07 a.m.
PD Predicate disambiguation batch_69fd97d805bc8190ba12f429d3ad04c7 completed May 8, 2026, 7:59 a.m.
Created at: April 30, 2026, 11:09 p.m.