Triple

T23032373
Position Surface form Disambiguated ID Type / Status
Subject Sightseers E573497 entity
Predicate mainCharacter P1183 FINISHED
Object Tina
Tina is the socially awkward yet increasingly unhinged protagonist of the dark British road-trip comedy film "Sightseers."
E1566026 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: Tina | Statement: [Sightseers, mainCharacter, Tina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tina
Context triple: [Sightseers, mainCharacter, Tina]
  • A. Tina
    Tina is a character portrayed by actress and comedian Melissa Rauch, known for her energetic and distinctive vocal performances.
  • B. Tina
    Tina is the nickname and given name of Indian author, columnist, and former Bollywood actress Twinkle Khanna.
  • C. Tina
    Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
  • D. Tina
    Tina is the daughter of Jenny MacPartland, a character in Mary Higgins Clark’s novel "While My Pretty One Sleeps."
  • E. Tina
    Tina is the nickname of Tina Fey, an American comedian, writer, actress, and producer best known for her work on Saturday Night Live and 30 Rock.
  • 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: Tina
Triple: [Sightseers, mainCharacter, Tina]
Generated description
Tina is the socially awkward yet increasingly unhinged protagonist of the dark British road-trip comedy film "Sightseers."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tina
Target entity description: Tina is the socially awkward yet increasingly unhinged protagonist of the dark British road-trip comedy film "Sightseers."
  • A. Tina
    Tina is a socially awkward, horse-obsessed teenage girl character from the animated TV series "Bob's Burgers."
  • B. Tina
    Tina is the central protagonist of the television series "Minx," around whom the show's storylines and character dynamics revolve.
  • C. Tina
    Tina is a fictional character portrayed by American actress Idara Victor.
  • D. Tina
    Tina is a character portrayed by actress and comedian Melissa Rauch, known for her energetic and distinctive vocal performances.
  • E. Tina
    Tina is the nickname of Tina Fey, an American comedian, writer, actress, and producer best known for her work on Saturday Night Live and 30 Rock.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f184822a90819081907d72c76770b0 completed April 29, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bf2b54b888190b1761586d2a2583a completed May 19, 2026, 5:18 a.m.
NEDg Description generation batch_6a0bf6f8ea048190af15e0494c19c6a1 completed May 19, 2026, 5:36 a.m.
NED2 Entity disambiguation (via description) batch_6a0bf76284988190ac4b8f08859aecc6 completed May 19, 2026, 5:38 a.m.
Created at: April 17, 2026, 3:53 p.m.