Triple

T9623774
Position Surface form Disambiguated ID Type / Status
Subject Handley Page Victor E232406 entity
Predicate natoReportingName P6062 FINISHED
Object Victor
Victor is a British Cold War–era jet aircraft that served as both a strategic bomber and later an aerial refueling tanker for the Royal Air Force.
 E810232 NE FINISHED

How this triple was built (4 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: Victor | Statement: [Handley Page Victor, natoReportingName, Victor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Victor
Context triple: [Handley Page Victor, natoReportingName, Victor]
  • A. Victor
    Victor is a masculine given name of Latin origin meaning "conqueror" or "winner," commonly used in many European and English-speaking countries.
  • B. 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.
  • C. Victor
    Victor is a character in Gregory Benford’s science fiction novel "Timescape," which explores time communication and ecological catastrophe.
  • D. Victor
    Victor was a prominent early 20th-century record label known for producing and distributing influential jazz and popular music recordings.
  • E. Victor
    Victor is a supporting character in the romantic film "Letters to Juliet," known as Sophie’s work-obsessed fiancé whose priorities contrast with her search for true love.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Victor
Triple: [Handley Page Victor, natoReportingName, Victor]
Generated description
Victor is a British Cold War–era jet aircraft that served as both a strategic bomber and later an aerial refueling tanker for the Royal Air Force.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Victor
Target entity description: Victor is a British Cold War–era jet aircraft that served as both a strategic bomber and later an aerial refueling tanker for the Royal Air Force.
  • A. Victor
    Victor is the NATO reporting name for a class of Soviet nuclear-powered attack submarines developed during the Cold War.
  • B. Victor
    Victor is a masculine given name of Latin origin meaning "conqueror" or "winner," commonly used in many European and English-speaking countries.
  • C. Victor
    Victor is a character in Gregory Benford’s science fiction novel "Timescape," which explores time communication and ecological catastrophe.
  • D. Victor
    Victor was a prominent early 20th-century record label known for producing and distributing influential jazz and popular music recordings.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad650a4819096258665bc3f410b completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1797ab3d4819088da04fd5d00386b completed April 4, 2026, 8:50 p.m.
NEDg Description generation batch_69d17a96725c8190aca4a5303952171b completed April 4, 2026, 8:54 p.m.
NED2 Entity disambiguation (via description) batch_69d17b3559548190afe2bbf7cbf8a2af completed April 4, 2026, 8:57 p.m.
Created at: March 30, 2026, 8:10 p.m.