Triple

T34563735
Position Surface form Disambiguated ID Type / Status
Subject Sir John Talbot E887414 entity
Predicate fictionalUniverseDebutYear P197996 FINISHED
Object 1941 LITERAL 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: 1941 | Statement: [Sir John Talbot, fictionalUniverseDebutYear, 1941]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalUniverseDebutYear
Context triple: [Sir John Talbot, fictionalUniverseDebutYear, 1941]
  • A. fictionalUniverseDebut
    Indicates the first appearance of an entity within a particular fictional universe or continuity.
  • B. launchedInFictionalYear
    Indicates that an entity is depicted as being launched in a specified fictional or imaginary year within a narrative or fictional universe.
  • C. foundedInFictionalYear
    Indicates that an entity was established or created in a year that exists only within a fictional or imaginary timeline, rather than in real-world history.
  • D. releaseYearInFiction
    Indicates the year in which a fictional work is depicted as being released or taking place within its narrative universe.
  • E. fictionalUniverseRelation
    Indicates a relationship between entities based on their connection to the same or related fictional universes, such as shared settings, continuities, or crossover worlds.
  • F. None of above. chosen

Provenance (4 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_69f349d0c4d881908dd0950f5eb9ec0a completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fec00f27988190955de6b6348a4d97 completed May 9, 2026, 5:03 a.m.
PD Predicate disambiguation batch_69febd52037c8190b475dbd50fdbc13e completed May 9, 2026, 4:51 a.m.
PDg Predicate description generation batch_69fec00e5c1c819083d174bb4bc35f29 completed May 9, 2026, 5:03 a.m.
Created at: May 1, 2026, 2:02 a.m.