Triple

T32314
Position Surface form Disambiguated ID Type / Status
Subject Syntactic Structures E645 entity
Predicate publisher P29 FINISHED
Object Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
E4569 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: Mouton | Statement: [Syntactic Structures, publisher, Mouton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mouton
Context triple: [Syntactic Structures, publisher, Mouton]
  • A. Angus
    Angus is a historic county and region on the east coast of Scotland known for its rural landscapes, agriculture, and coastal towns.
  • B. Gallic rooster
    The Gallic rooster is a traditional emblem of France, symbolizing the nation’s pride, vigilance, and cultural identity.
  • C. Lick
    Lick is the nickname of Joseph Carl Robnett Licklider, a pioneering American computer scientist whose ideas helped lay the foundations for interactive computing and the internet.
  • D. Lynx
    Lynx is a high-speed serial computer bus interface standard, better known as IEEE 1394 or FireWire, used for real-time data transfer between digital devices.
  • E. Bronk
    Bronk is a surname most notably associated with Detlev W. Bronk, an influential American scientist and educator who helped shape modern biophysics and higher education policy.
  • 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: Mouton
Triple: [Syntactic Structures, publisher, Mouton]
Generated description
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mouton
Target entity description: Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • A. Angus
    Angus is a historic county and region on the east coast of Scotland known for its rural landscapes, agriculture, and coastal towns.
  • B. Gallic rooster
    The Gallic rooster is a traditional emblem of France, symbolizing the nation’s pride, vigilance, and cultural identity.
  • C. Lick
    Lick is the nickname of Joseph Carl Robnett Licklider, a pioneering American computer scientist whose ideas helped lay the foundations for interactive computing and the internet.
  • D. Lynx
    Lynx is a high-speed serial computer bus interface standard, better known as IEEE 1394 or FireWire, used for real-time data transfer between digital devices.
  • E. Bronk
    Bronk is a surname most notably associated with Detlev W. Bronk, an influential American scientist and educator who helped shape modern biophysics and higher education policy.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a2487838f881908ab8eda6c6ae53e4 completed Feb. 28, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a255307eac81908d0055775ef3c965 completed Feb. 28, 2026, 2:38 a.m.
NEDg Description generation batch_69a255cc192c8190b2c0aa68ac97ad1f completed Feb. 28, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69a256a191bc8190a0cb3151ece43e13 completed Feb. 28, 2026, 2:44 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.