Triple

T9787759
Position Surface form Disambiguated ID Type / Status
Subject Bullseye E237530 entity
Predicate role P268 FINISHED
Object Woody's steed
Bullseye is the loyal toy horse from the Toy Story franchise who serves as Woody’s faithful companion and mount.
 E821031 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: Woody's steed | Statement: [Bullseye, role, Woody's steed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Woody's steed
Context triple: [Bullseye, role, Woody's steed]
  • A. Winnie
    Winnie is a central character from the classic American sitcom "Happy Days," known for her role in the show's nostalgic portrayal of 1950s Midwestern life.
  • B. Tobo
    Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
  • C. Wanz
    Wanz is an American singer best known for providing the soulful hook on Macklemore & Ryan Lewis's hit single "Thrift Shop."
  • D. Hank the Mule
    Hank the Mule is a talking, often comically stubborn but loyal mule who accompanies Betsy Bobbin on her adventures in L. Frank Baum’s Oz series.
  • E. Donkey (Shrek)
    Donkey (Shrek) is the fast-talking, comedic, and loyal talking donkey who serves as Shrek’s sidekick in the Shrek animated film series.
  • 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: Woody's steed
Triple: [Bullseye, role, Woody's steed]
Generated description
Bullseye is the loyal toy horse from the Toy Story franchise who serves as Woody’s faithful companion and mount.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Woody's steed
Target entity description: Bullseye is the loyal toy horse from the Toy Story franchise who serves as Woody’s faithful companion and mount.
  • A. Winnie
    Winnie is a central character from the classic American sitcom "Happy Days," known for her role in the show's nostalgic portrayal of 1950s Midwestern life.
  • B. Tobo
    Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
  • C. Wanz
    Wanz is an American singer best known for providing the soulful hook on Macklemore & Ryan Lewis's hit single "Thrift Shop."
  • D. Hank the Mule
    Hank the Mule is a talking, often comically stubborn but loyal mule who accompanies Betsy Bobbin on her adventures in L. Frank Baum’s Oz series.
  • E. Donkey (Shrek)
    Donkey (Shrek) is the fast-talking, comedic, and loyal talking donkey who serves as Shrek’s sidekick in the Shrek animated film series.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda211b0608190bc8ceb905d02db83 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c427cb2c81909fce8e1958ab3282 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c55c25d48190a73deee049130f05 completed April 5, 2026, 2:13 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5dd88488190a9444bf473472276 completed April 5, 2026, 2:15 a.m.
Created at: March 30, 2026, 8:27 p.m.