Triple

T10972465
Position Surface form Disambiguated ID Type / Status
Subject Victor Frankenstein E259275 entity
Predicate closeFriend P8712 FINISHED
Object Henry Clerval E259346 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: Henry Clerval | Statement: [Victor Frankenstein, closeFriend, Henry Clerval]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Clerval
Context triple: [Victor Frankenstein, closeFriend, Henry Clerval]
  • A. Henry Clerval chosen
    Henry Clerval is Victor Frankenstein’s loyal and idealistic best friend whose compassion and humanism sharply contrast with Victor’s obsessive scientific ambition in Mary Shelley’s Frankenstein (1994 film).
  • B. Alphonse Frankenstein
    Alphonse Frankenstein is Victor Frankenstein’s compassionate and morally upright father in Mary Shelley’s novel "Frankenstein; or, The Modern Prometheus."
  • C. Joseph von Franckenstein
    Joseph von Franckenstein was an Austrian-born diplomat and writer best known as the husband of American author Kay Boyle.
  • D. Victor
    Victor is a central character in the TV series "Dollhouse," known as one of the programmable "Actives" whose identity and memories are repeatedly altered for various missions.
  • E. Victor
    Victor is a character in Gregory Benford’s science fiction novel "Timescape," which explores time communication and ecological catastrophe.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7719b5edc81908c1019f81e78bd2e completed April 9, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d7a0b3dc819084fbda3227caf5b5 completed April 18, 2026, 1 a.m.
Created at: April 8, 2026, 9:24 p.m.