Triple

T12912724
Position Surface form Disambiguated ID Type / Status
Subject Tunnel community E308899 entity
Predicate includesCharacter P5716 FINISHED
Object Mouse
Mouse is a small rodent often depicted in stories and media as a timid yet resourceful character.
 E1010006 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: Mouse | Statement: [Tunnel community, includesCharacter, Mouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mouse
Context triple: [Tunnel community, includesCharacter, Mouse]
  • A. Mouse
    "Mouse" is a short story featured in the speculative fiction collection "Smoke and Mirrors" by Neil Gaiman.
  • B. Mause
    Mause is a character in Allan Ramsay’s pastoral play "The Gentle Shepherd," typically depicted as an old, wise woman who provides comic relief and guidance.
  • C. Mouse Davis
    Mouse Davis is an American football coach renowned as a pioneer of the run-and-shoot offense, which he implemented successfully at various levels of the sport.
  • D. M-I-C-K-E-Y M-O-U-S-E
    M-I-C-K-E-Y M-O-U-S-E is the iconic spelled-out name of Mickey Mouse, the classic Disney cartoon character and company mascot.
  • E. Mouse Trouble
    Mouse Trouble is a classic 1944 Tom and Jerry animated short in which Tom’s elaborate attempts to catch Jerry, inspired by a how-to book, backfire in a series of slapstick gags.
  • 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: Mouse
Triple: [Tunnel community, includesCharacter, Mouse]
Generated description
Mouse is a small rodent often depicted in stories and media as a timid yet resourceful character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mouse
Target entity description: Mouse is a small rodent often depicted in stories and media as a timid yet resourceful character.
  • A. Mouse
    "Mouse" is a short story featured in the speculative fiction collection "Smoke and Mirrors" by Neil Gaiman.
  • B. Mause
    Mause is a character in Allan Ramsay’s pastoral play "The Gentle Shepherd," typically depicted as an old, wise woman who provides comic relief and guidance.
  • C. Mouse Davis
    Mouse Davis is an American football coach renowned as a pioneer of the run-and-shoot offense, which he implemented successfully at various levels of the sport.
  • D. M-I-C-K-E-Y M-O-U-S-E
    M-I-C-K-E-Y M-O-U-S-E is the iconic spelled-out name of Mickey Mouse, the classic Disney cartoon character and company mascot.
  • E. Mouse Trouble
    Mouse Trouble is a classic 1944 Tom and Jerry animated short in which Tom’s elaborate attempts to catch Jerry, inspired by a how-to book, backfire in a series of slapstick gags.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719f96248190b746f9d4a468560c completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a56ea03c819093a5b8657e27768e completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a68978008190a9d8695b09a8cb3a completed May 3, 2026, 1:36 a.m.
NED2 Entity disambiguation (via description) batch_69f6a8a31264819082c1ce67eaa529cc completed May 3, 2026, 1:45 a.m.
Created at: April 9, 2026, 5:41 p.m.