Triple

T30809252
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Medina E784593 entity
Predicate relativeInFilm P204256 FINISHED
Object Sebastian Medina
Sebastian Medina is a fictional character associated with Nicholas Medina in a film narrative, likely as a family member within a horror or suspense storyline.
 E1940373 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: Sebastian Medina | Statement: [Nicholas Medina, relativeInFilm, Sebastian Medina]
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: Sebastian Medina
Triple: [Nicholas Medina, relativeInFilm, Sebastian Medina]
Generated description
Sebastian Medina is a fictional character associated with Nicholas Medina in a film narrative, likely as a family member within a horror or suspense storyline.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: relativeInFilm
Context triple: [Nicholas Medina, relativeInFilm, Sebastian Medina]
  • A. placementInFilm
    Indicates the specific position or occurrence of something within the sequence or structure of a film.
  • B. reversedInFilm
    Indicates that the usual direction or order of something is inverted or played backwards within a film.
  • C. basedOnInFilm
    Indicates that a film is derived from, adapted from, or otherwise uses as its source material another work, event, or concept.
  • 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. relativePlaysIn
    Indicates that a person has a relative who plays in (is a member of or participates in) a specified team, group, or organization.
  • 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_69f224b3a7ec819096939414d103e31e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a0358c946f08190a8fb41c643074475 completed May 12, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28fb9941f081909002bcd2ced66753 completed June 10, 2026, 5:52 a.m.
NEDg Description generation batch_6a28ff7a61d88190a300a04b448f4197 completed June 10, 2026, 6:08 a.m.
NED2 Entity disambiguation (via description) batch_6a29000073b081908686e42c73fabfce completed June 10, 2026, 6:11 a.m.
PD Predicate disambiguation batch_6a03586e5bb08190a71e075fde7cd679 completed May 12, 2026, 4:42 p.m.
PDg Predicate description generation batch_6a0358c89acc8190b22421ff8ce0f575 completed May 12, 2026, 4:43 p.m.
Created at: April 29, 2026, 8:43 p.m.