Triple

T8073456
Position Surface form Disambiguated ID Type / Status
Subject Causantín mac Fergusa E188432 entity
Predicate father P120 FINISHED
Object Fergus E655059 NE FINISHED

How this triple was built (2 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: [Causantín mac Fergusa, father, Fergus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fergus
Context triple: [Causantín mac Fergusa, father, Fergus]
  • A. Fergus
    Fergus is a fictional character from the game "Wild Target," likely serving as a notable figure within its story or gameplay.
  • B. Fergus
    Fergus is the conflicted Irish Republican Army volunteer who serves as the central protagonist in the 1992 psychological thriller film "The Crying Game."
  • C. Fergus
    Fergus is a historic small town in southwestern Ontario, Canada, known for its Scottish heritage and annual Scottish Festival and Highland Games.
  • D. Fergus chosen
    Fergus is a masculine given name of Gaelic origin, traditionally meaning "man of force" or "strong man."
  • E. Fidach
    Fidach was one of the early medieval Pictish kingdoms in what is now northern Scotland, known primarily from historical and linguistic reconstructions rather than detailed contemporary records.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb404a98408190b6c8eecb95ad086d completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93e568388190a518baa0badefea4 completed April 1, 2026, 3:41 a.m.
Created at: March 30, 2026, 5:27 p.m.