Triple

T1108359
Position Surface form Disambiguated ID Type / Status
Subject Wild Target E25536 entity
Predicate character P662 FINISHED
Object Fergus
Fergus is a fictional character from the game "Wild Target," likely serving as a notable figure within its story or gameplay.
 E130856 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: Fergus | Statement: [Wild Target, character, Fergus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fergus
Context triple: [Wild Target, character, Fergus]
  • A. Conachair
    Conachair is a prominent sea cliff and the highest peak on the remote Scottish archipelago of St Kilda, known for its dramatic Atlantic-facing precipices.
  • B. Macheath
    Macheath is the charming yet roguish highwayman and anti-hero central to John Gay’s satirical ballad opera "The Beggar’s Opera."
  • C. Gavan
    Gavan is a given name, typically a variant spelling of Gavin, used as a masculine first name in English-speaking contexts.
  • D. Seamus
    Seamus is the Irish form of the given name James, commonly used for boys in Ireland and among the Irish diaspora.
  • E. Duncan
    Duncan is a character in Margaret Atwood's novel "The Edible Woman," serving as an eccentric and introspective figure who reflects the protagonist's psychological turmoil.
  • 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: Fergus
Triple: [Wild Target, character, Fergus]
Generated description
Fergus is a fictional character from the game "Wild Target," likely serving as a notable figure within its story or gameplay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fergus
Target entity description: Fergus is a fictional character from the game "Wild Target," likely serving as a notable figure within its story or gameplay.
  • A. Conachair
    Conachair is a prominent sea cliff and the highest peak on the remote Scottish archipelago of St Kilda, known for its dramatic Atlantic-facing precipices.
  • B. Macheath
    Macheath is the charming yet roguish highwayman and anti-hero central to John Gay’s satirical ballad opera "The Beggar’s Opera."
  • C. Gavan
    Gavan is a given name, typically a variant spelling of Gavin, used as a masculine first name in English-speaking contexts.
  • D. Seamus
    Seamus is the Irish form of the given name James, commonly used for boys in Ireland and among the Irish diaspora.
  • E. Duncan
    Duncan is a character in Margaret Atwood's novel "The Edible Woman," serving as an eccentric and introspective figure who reflects the protagonist's psychological turmoil.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e6134481909f348986a25f65c6 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59a221888190a3ffdb713e7cd143 completed March 7, 2026, 5 p.m.
NEDg Description generation batch_69ac5a38ebb0819091cb81e23770ae50 completed March 7, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ac5aa2ad188190b4c6a29e3c2c8d79 completed March 7, 2026, 5:04 p.m.
Created at: March 1, 2026, 7:43 p.m.