Triple

T12522710
Position Surface form Disambiguated ID Type / Status
Subject Fat City E299357 entity
Predicate character P662 FINISHED
Object Tully
Tully is a central figure in Leonard Gardner’s novel and its film adaptation "Fat City," portrayed as a struggling boxer navigating hardship and disillusionment in Stockton, California.
 E986606 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: Tully | Statement: [Fat City, character, Tully]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tully
Context triple: [Fat City, character, Tully]
  • A. Tully
    Tully is a rural town in Far North Queensland, Australia, known for its high rainfall and sugar cane farming.
  • B. Tully
    Tully is a 2018 comedy-drama film starring Charlize Theron as an overwhelmed mother who forms an unexpected bond with her night nanny.
  • C. Tully
    Tully is a surname most notably associated with Brent Tully, an astronomer known for his work on the large-scale structure of the universe and galaxy distributions.
  • D. Tuthill
    Tuthill is a surname most notably associated with William Burnet Tuthill, the American architect who designed Carnegie Hall in New York City.
  • E. Galaxie
    "Galaxie" is an alternative rock song by Blind Melon, known for its introspective lyrics and inclusion on their 1995 album "Soup."
  • 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: Tully
Triple: [Fat City, character, Tully]
Generated description
Tully is a central figure in Leonard Gardner’s novel and its film adaptation "Fat City," portrayed as a struggling boxer navigating hardship and disillusionment in Stockton, California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tully
Target entity description: Tully is a central figure in Leonard Gardner’s novel and its film adaptation "Fat City," portrayed as a struggling boxer navigating hardship and disillusionment in Stockton, California.
  • A. Tully
    Tully is a 2018 comedy-drama film starring Charlize Theron as an overwhelmed mother who forms an unexpected bond with her night nanny.
  • B. Tully
    Tully is a rural town in Far North Queensland, Australia, known for its high rainfall and sugar cane farming.
  • C. Tully
    Tully is a surname most notably associated with Brent Tully, an astronomer known for his work on the large-scale structure of the universe and galaxy distributions.
  • D. Tuthill
    Tuthill is a surname most notably associated with William Burnet Tuthill, the American architect who designed Carnegie Hall in New York City.
  • E. Galaxie
    "Galaxie" is an alternative rock song by Blind Melon, known for its introspective lyrics and inclusion on their 1995 album "Soup."
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545c2aa081908e8a5a94d30e23eb completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc159c88190835fea5c0d9ee799 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64def9a6081908c3048f948829051 completed May 2, 2026, 7:18 p.m.
NED2 Entity disambiguation (via description) batch_69f64ea1719c8190b91ffaab60db25ad completed May 2, 2026, 7:21 p.m.
Created at: April 8, 2026, 9:57 p.m.