Triple

T2903031
Position Surface form Disambiguated ID Type / Status
Subject V. (novel) E62693 entity
Predicate hasAlternativeTitle P39 FINISHED
Object V E62693 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: V | Statement: [V. (novel), hasAlternativeTitle, V]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: V
Context triple: [V. (novel), hasAlternativeTitle, V]
  • A. V
    V is the stock ticker symbol for Visa Inc., a leading global payments technology company.
  • B. V. chosen
    V. is Thomas Pynchon's 1963 debut novel, a complex, postmodern work that interweaves multiple narratives and historical periods in a quest surrounding the mysterious figure or concept known only as "V."
  • C. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • D. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • E. Vo
    Vo is a Vietnamese surname most famously associated with General Vo Nguyen Giap, a key military leader in Vietnam's 20th-century history.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0b3d20881908cd4f1b465b504af completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0560885688190b5bb51f40d555c4d completed March 10, 2026, 5:34 p.m.
Created at: March 6, 2026, 10:10 p.m.