Triple

T13610375
Position Surface form Disambiguated ID Type / Status
Subject I Smile Back E325171 entity
Predicate character P662 FINISHED
Object Dr. Page
Dr. Page is a supporting character in the 2015 drama film "I Smile Back," serving as a mental health professional involved in the protagonist's struggle with addiction and emotional instability.
 E1051068 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: Dr. Page | Statement: [I Smile Back, character, Dr. Page]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dr. Page
Context triple: [I Smile Back, character, Dr. Page]
  • A. Dr. Harper
    Dr. Harper is a character in the horror film "The Boogeyman," serving as a key figure in the story’s unfolding supernatural terror.
  • B. Dr. Parry
    Dr. Parry is a character who serves as the romantic interest of Helen in the narrative.
  • C. Dr. Hill
    Dr. Hill is a medical professional who provided healthcare treatment to Joshua Washington.
  • D. Dr. Mumford
    Dr. Mumford is the fictional psychologist protagonist of the 1999 comedy-drama film "Mumford," known for his unconventional therapeutic methods in a small town.
  • E. Dr. Leekie
    Dr. Leekie is a central scientist and executive figure in the TV series "Orphan Black," known for his role in overseeing the ethically dubious Neolution genetic experiments.
  • 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: Dr. Page
Triple: [I Smile Back, character, Dr. Page]
Generated description
Dr. Page is a supporting character in the 2015 drama film "I Smile Back," serving as a mental health professional involved in the protagonist's struggle with addiction and emotional instability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dr. Page
Target entity description: Dr. Page is a supporting character in the 2015 drama film "I Smile Back," serving as a mental health professional involved in the protagonist's struggle with addiction and emotional instability.
  • A. Dr. Harper
    Dr. Harper is a character in the horror film "The Boogeyman," serving as a key figure in the story’s unfolding supernatural terror.
  • B. Dr. Parry
    Dr. Parry is a character who serves as the romantic interest of Helen in the narrative.
  • C. Dr. Hill
    Dr. Hill is a medical professional who provided healthcare treatment to Joshua Washington.
  • D. Dr. Mumford
    Dr. Mumford is the fictional psychologist protagonist of the 1999 comedy-drama film "Mumford," known for his unconventional therapeutic methods in a small town.
  • E. Dr. Leekie
    Dr. Leekie is a central scientist and executive figure in the TV series "Orphan Black," known for his role in overseeing the ethically dubious Neolution genetic experiments.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0aa9a1481908c6f92495aff86c6 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f9a9f9c81909b0a8f4f51c461ae completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f78070e95c819088982e26fe2d8e26 completed May 3, 2026, 5:05 p.m.
NED2 Entity disambiguation (via description) batch_69f78157b9cc8190a1855cb9715aa7d5 completed May 3, 2026, 5:09 p.m.
Created at: April 9, 2026, 9:50 p.m.