Triple

T15548948
Position Surface form Disambiguated ID Type / Status
Subject Daniel Fuchs E370687 entity
Predicate notableWork P4 FINISHED
Object The Big Tip Off
The Big Tip Off is a crime novel by American writer Daniel Fuchs, known for its gritty depiction of underworld life and sharp, realistic dialogue.
E1163174 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: The Big Tip Off | Statement: [Daniel Fuchs, notableWork, The Big Tip Off]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Big Tip Off
Context triple: [Daniel Fuchs, notableWork, The Big Tip Off]
  • A. The Big Dance
    The Big Dance is the widely used nickname for the NCAA Division I Men’s Basketball Tournament, the annual single-elimination championship that determines the top team in U.S. college basketball.
  • B. The Hoops
    The Hoops is the commonly used nickname for Oxford City Football Club, an English football team based in Oxford.
  • C. The Hoops
    The Hoops is a common nickname for Queens Park Rangers Football Club, an English professional football team based in West London.
  • D. The Hoops
    The Hoops is a common nickname for FC Dallas, a professional Major League Soccer club based in the Dallas–Fort Worth metroplex.
  • E. The Hoops
    The Hoops is a popular nickname for Celtic F.C., the Glasgow-based Scottish football club known for its green and white hooped shirts.
  • 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: The Big Tip Off
Triple: [Daniel Fuchs, notableWork, The Big Tip Off]
Generated description
The Big Tip Off is a crime novel by American writer Daniel Fuchs, known for its gritty depiction of underworld life and sharp, realistic dialogue.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Big Tip Off
Target entity description: The Big Tip Off is a crime novel by American writer Daniel Fuchs, known for its gritty depiction of underworld life and sharp, realistic dialogue.
  • A. The Big Dance
    The Big Dance is the widely used nickname for the NCAA Division I Men’s Basketball Tournament, the annual single-elimination championship that determines the top team in U.S. college basketball.
  • B. The Hoops
    The Hoops is the commonly used nickname for Oxford City Football Club, an English football team based in Oxford.
  • C. The Hoops
    The Hoops is a common nickname for Queens Park Rangers Football Club, an English professional football team based in West London.
  • D. The Hoops
    The Hoops is the popular nickname of Shamrock Rovers F.C., one of Ireland’s most successful and historically significant football clubs.
  • E. The Hoops
    The Hoops is a common nickname for FC Dallas, a professional Major League Soccer club based in the Dallas–Fort Worth metroplex.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a93121881909d88ca55a39252ac completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff455dfbcc8190a93e90c59b2d3045 completed May 9, 2026, 2:31 p.m.
NEDg Description generation batch_69ff467e5d6c8190ba3bf6557e683233 completed May 9, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69ff470912bc8190a42ee312aca55872 completed May 9, 2026, 2:39 p.m.
Created at: April 10, 2026, 4:08 a.m.