Triple

T21898370
Position Surface form Disambiguated ID Type / Status
Subject The Innkeepers E540742 entity
Predicate mainCharacter P1183 FINISHED
Object Claire
Claire is the central protagonist of the 2011 horror film "The Innkeepers," a young hotel employee drawn into investigating the supernatural events at a soon-to-close inn.
 E1508013 NE FINISHED

How this triple was built (4 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: Claire | Statement: [The Innkeepers, mainCharacter, Claire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Claire
Context triple: [The Innkeepers, mainCharacter, Claire]
  • A. Claire
    Claire is a fictional character named in the work "Lucky Lady," likely serving as one of its central figures.
  • B. Claire
    Claire is a feminine given name of French origin meaning "clear" or "bright," commonly used in English-speaking countries.
  • C. Claire
    Claire is the central protagonist of the film "Intimacy," around whom the story’s emotional and relational tensions revolve.
  • D. Claire
    Claire is a character from the family comedy film "World's Greatest Dad," which stars Robin Williams as a struggling writer and single father.
  • E. Claire
    Claire is a character from the children's book "Picture Day," likely depicted as a young student navigating the small dramas and excitement surrounding school picture day.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Claire
Triple: [The Innkeepers, mainCharacter, Claire]
Generated description
Claire is the central protagonist of the 2011 horror film "The Innkeepers," a young hotel employee drawn into investigating the supernatural events at a soon-to-close inn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Claire
Target entity description: Claire is the central protagonist of the 2011 horror film "The Innkeepers," a young hotel employee drawn into investigating the supernatural events at a soon-to-close inn.
  • A. Claire
    Claire is the central protagonist of the 2015 film "Hidden," around whom the story’s suspenseful and psychological narrative unfolds.
  • B. Claire
    Claire is the central protagonist of the film "Intimacy," around whom the story’s emotional and relational tensions revolve.
  • C. Claire
    Claire is the central character of the psychological thriller film "Proof," around whom the story’s emotional and narrative tensions revolve.
  • D. Claire
    Claire is a central character in Lars von Trier's film "Melancholia," portrayed as the anxious, responsible sister struggling to hold her family together as a rogue planet threatens Earth.
  • E. Claire
    Claire is a character from the family comedy film "World's Greatest Dad," which stars Robin Williams as a struggling writer and single father.
  • F. None of above. chosen

Provenance (5 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc8c2108190b55ff1ba3badc9fb completed April 28, 2026, 8:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a5a03382c819096fc1806717b1c23 completed May 18, 2026, 12:14 a.m.
NEDg Description generation batch_6a0a5a967d28819084a37207e17d4f68 completed May 18, 2026, 12:17 a.m.
NED2 Entity disambiguation (via description) batch_6a0a5b24f6708190bfe903dceb0e9210 completed May 18, 2026, 12:19 a.m.
Created at: April 16, 2026, 7:07 p.m.