Triple

T8510188
Position Surface form Disambiguated ID Type / Status
Subject Tim Henman E201432 entity
Predicate nickname P55 FINISHED
Object Tiger Tim
Tiger Tim is the nickname of Tim Henman, a former British professional tennis player known for his success at Wimbledon and role in revitalizing British tennis in the 1990s and early 2000s.
E738435 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: Tiger Tim | Statement: [Tim Henman, nickname, Tiger Tim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiger Tim
Context triple: [Tim Henman, nickname, Tiger Tim]
  • A. Mr. Tiger
    Mr. Tiger is the nickname of Al Kaline, the Hall of Fame right fielder who became a legendary figure for the Detroit Tigers in Major League Baseball.
  • B. Tim the Bear
    Tim the Bear is a talking anthropomorphic bear and one of the main characters on the animated TV series "The Cleveland Show."
  • C. TOM the Tiger
    TOM the Tiger is the live Bengal tiger mascot that represents the University of Memphis Tigers athletic programs.
  • D. Mike the Tiger
    Mike the Tiger is the live Bengal tiger mascot of Louisiana State University, serving as a prominent symbol of the school's athletic teams and spirit.
  • E. Lucky the Lion
    Lucky the Lion is the costumed lion mascot representing Texas A&M University–Commerce at athletic events and school functions.
  • 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: Tiger Tim
Triple: [Tim Henman, nickname, Tiger Tim]
Generated description
Tiger Tim is the nickname of Tim Henman, a former British professional tennis player known for his success at Wimbledon and role in revitalizing British tennis in the 1990s and early 2000s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tiger Tim
Target entity description: Tiger Tim is the nickname of Tim Henman, a former British professional tennis player known for his success at Wimbledon and role in revitalizing British tennis in the 1990s and early 2000s.
  • A. Mr. Tiger
    Mr. Tiger is the nickname of Al Kaline, the Hall of Fame right fielder who became a legendary figure for the Detroit Tigers in Major League Baseball.
  • B. Tim the Bear
    Tim the Bear is a talking anthropomorphic bear and one of the main characters on the animated TV series "The Cleveland Show."
  • C. TOM the Tiger
    TOM the Tiger is the live Bengal tiger mascot that represents the University of Memphis Tigers athletic programs.
  • D. Mike the Tiger
    Mike the Tiger is the live Bengal tiger mascot of Louisiana State University, serving as a prominent symbol of the school's athletic teams and spirit.
  • E. Lucky the Lion
    Lucky the Lion is the costumed lion mascot representing Texas A&M University–Commerce at athletic events and school functions.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5e0cb1881909d1ff6ee9b3a65cc completed March 31, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e3faa0c81908533e9097ed29b26 completed April 2, 2026, 11:08 a.m.
NEDg Description generation batch_69ce4ff9792c81908d76141904a170bc completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce50acae5881908f1d2c0e21dd7f1d completed April 2, 2026, 11:19 a.m.
Created at: March 30, 2026, 6:15 p.m.