Triple

T16366144
Position Surface form Disambiguated ID Type / Status
Subject Tales E397440 entity
Predicate hasPart P35 FINISHED
Object “Behind the Smile”
“Behind the Smile” is a story segment from the Doctor Who anthology *Tales of Terror*, focusing on a darker, unsettling twist behind seemingly cheerful appearances.
E1208584 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: “Behind the Smile” | Statement: [Tales, hasPart, “Behind the Smile”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Behind the Smile”
Context triple: [Tales, hasPart, “Behind the Smile”]
  • A. "Smile Again"
    "Smile Again" is a song featured on Usher's debut studio album, showcasing his early R&B style and vocal talent.
  • B. Smile Away
    "Smile Away" is a rock song by Paul McCartney and Wings, known for its upbeat tempo and playful lyrics.
  • C. Illegal Smile
    "Illegal Smile" is a humorous, folk-country song by American singer-songwriter John Prine, often interpreted as a wry ode to marijuana and featured on his 1971 debut album.
  • D. A Woman’s Smile
    "A Woman’s Smile" is a song by the American indie rock band The Firefly.
  • E. A Tear to a Smile
    A Tear to a Smile is a 1975 jazz-funk and soul album by vibraphonist Roy Ayers, showcasing his smooth grooves, lush arrangements, and early fusion of jazz with R&B influences.
  • 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: “Behind the Smile”
Triple: [Tales, hasPart, “Behind the Smile”]
Generated description
“Behind the Smile” is a story segment from the Doctor Who anthology *Tales of Terror*, focusing on a darker, unsettling twist behind seemingly cheerful appearances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: “Behind the Smile”
Target entity description: “Behind the Smile” is a story segment from the Doctor Who anthology *Tales of Terror*, focusing on a darker, unsettling twist behind seemingly cheerful appearances.
  • A. "Smile Again"
    "Smile Again" is a song featured on Usher's debut studio album, showcasing his early R&B style and vocal talent.
  • B. Smile Away
    "Smile Away" is a rock song by Paul McCartney and Wings, known for its upbeat tempo and playful lyrics.
  • C. Illegal Smile
    "Illegal Smile" is a humorous, folk-country song by American singer-songwriter John Prine, often interpreted as a wry ode to marijuana and featured on his 1971 debut album.
  • D. A Woman’s Smile
    "A Woman’s Smile" is a song by the American indie rock band The Firefly.
  • E. A Tear to a Smile
    A Tear to a Smile is a 1975 jazz-funk and soul album by vibraphonist Roy Ayers, showcasing his smooth grooves, lush arrangements, and early fusion of jazz with R&B influences.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3c915c81909e1757fc31921876 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc0b3d4819089e6fba536ec8a11 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002f35af8081908ea9c3d0a991c396 completed May 10, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_6a002fa14ee4819080b02b368c0080b9 completed May 10, 2026, 7:11 a.m.
Created at: April 10, 2026, 5:08 a.m.