Triple

T14653767
Position Surface form Disambiguated ID Type / Status
Subject Picture Day E344056 entity
Predicate character P662 FINISHED
Object 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.
E1112027 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: [Picture Day, character, Claire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire
Context triple: [Picture Day, character, 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 sharp-tongued, alcoholic sister whose acerbic wit and emotional volatility provide both dark humor and tension in Edward Albee’s play "A Delicate Balance."
  • 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: [Picture Day, character, Claire]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Claire
Target entity description: 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.
  • A. Claire
    Claire is a feminine given name of French origin meaning "clear" or "bright," commonly used in English-speaking countries.
  • B. Claire
    Claire is a sharp-tongued, alcoholic sister whose acerbic wit and emotional volatility provide both dark humor and tension in Edward Albee’s play "A Delicate Balance."
  • C. Claire
    Claire is a fictional character named in the work "Lucky Lady," likely serving as one of its central figures.
  • D. Claire
    Claire is the central protagonist of the film "Intimacy," around whom the story’s emotional and relational tensions revolve.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb518f7dc8190877997ea4cd3eed2 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5db85648190b0e5b1c0827fa9f4 completed May 8, 2026, 12:23 p.m.
NEDg Description generation batch_69fdd6ed699c8190919677dcdf2d24d9 completed May 8, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_69fdd79198108190a3e640eca97b082b completed May 8, 2026, 12:31 p.m.
Created at: April 10, 2026, 1:27 a.m.