Triple

T13196312
Position Surface form Disambiguated ID Type / Status
Subject Fallout 3 E314119 entity
Predicate protagonist P268 FINISHED
Object Lone Wanderer E1009932 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: Lone Wanderer | Statement: [Fallout 3, protagonist, Lone Wanderer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lone Wanderer
Context triple: [Fallout 3, protagonist, Lone Wanderer]
  • A. Lone Wanderer chosen
    The Lone Wanderer is the customizable player character and central protagonist of Fallout 3, who journeys from Vault 101 into the post-apocalyptic Capital Wasteland.
  • B. Aldwyn (monk)
    Aldwyn was an 11th-century English monk best known as the founder and first prior of Great Malvern Priory in Worcestershire.
  • C. Hawke
    Hawke is a surname of English origin borne by various notable individuals across fields such as politics, the military, and the arts.
  • D. Kaidan Alenko
    Kaidan Alenko is a human biotic officer and potential squadmate and love interest in the Mass Effect video game series.
  • E. Twoflower
    Twoflower is a naive and enthusiastic tourist from Terry Pratchett’s Discworld series, best known for his optimistic outlook, magical Luggage, and role in introducing readers to the city of Ankh-Morpork.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c626058819086f604b11af2d4eb completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f605a48c81909373fcd9dd896b3d completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:16 p.m.