Triple

T9752125
Position Surface form Disambiguated ID Type / Status
Subject Tin Toy E236465 entity
Predicate mainCharacter P1183 FINISHED
Object Tinny
Tinny is the wind-up toy protagonist of Pixar’s 1988 short film "Tin Toy," often recognized as an early precursor to the characters and style of "Toy Story."
 E818885 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: Tinny | Statement: [Tin Toy, mainCharacter, Tinny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tinny
Context triple: [Tin Toy, mainCharacter, Tinny]
  • A. Txikiyana
    Txikiyana is a dialectal variety of the Tiriyó language spoken by an Indigenous community in the Amazon region of northern South America.
  • B. Tiny
    Tiny was the ironic nickname of Bernard Freyberg, a highly decorated British-New Zealand military commander and World War II general.
  • C. Tiny
    Tiny is the giant blue ox companion of the legendary lumberjack Paul Bunyan in American folklore.
  • D. Little Bitty
    "Little Bitty" is a popular 1996 country song by Alan Jackson known for its upbeat tempo and celebration of simple, everyday joys.
  • E. Tinée
    Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
  • 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: Tinny
Triple: [Tin Toy, mainCharacter, Tinny]
Generated description
Tinny is the wind-up toy protagonist of Pixar’s 1988 short film "Tin Toy," often recognized as an early precursor to the characters and style of "Toy Story."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tinny
Target entity description: Tinny is the wind-up toy protagonist of Pixar’s 1988 short film "Tin Toy," often recognized as an early precursor to the characters and style of "Toy Story."
  • A. Txikiyana
    Txikiyana is a dialectal variety of the Tiriyó language spoken by an Indigenous community in the Amazon region of northern South America.
  • B. Tiny
    Tiny was the ironic nickname of Bernard Freyberg, a highly decorated British-New Zealand military commander and World War II general.
  • C. Tiny
    Tiny is the giant blue ox companion of the legendary lumberjack Paul Bunyan in American folklore.
  • D. Little Bitty
    "Little Bitty" is a popular 1996 country song by Alan Jackson known for its upbeat tempo and celebration of simple, everyday joys.
  • E. Tinée
    Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9facd5b881909f0569b23f308815 completed April 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b0288b808190821287a2cc54025d completed April 5, 2026, 12:43 a.m.
NEDg Description generation batch_69d1b243b2d48190b4e57871dca3f38f completed April 5, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_69d1b2e335e48190b8d45097fd686c55 completed April 5, 2026, 12:54 a.m.
Created at: March 30, 2026, 8:24 p.m.