Triple

T3278761
Position Surface form Disambiguated ID Type / Status
Subject John Clive E68821 entity
Predicate notableWork P4 FINISHED
Object KG 200
KG 200 is a historical non-fiction book by John Clive that examines the secret operations of a special Luftwaffe unit during World War II.
 E344857 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: KG 200 | Statement: [John Clive, notableWork, KG 200]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KG 200
Context triple: [John Clive, notableWork, KG 200]
  • A. KG 53
    KG 53 was a Luftwaffe bomber wing of Nazi Germany during World War II, known for its operations on both the Eastern and Western Fronts.
  • B. KGH
    KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
  • C. KJ-500
    The KJ-500 is a modern Chinese airborne early warning and control (AEW&C) aircraft featuring a fixed dorsal radar dome and advanced phased-array radar systems for long-range airspace surveillance and battle management.
  • D. KG
    KG is the post-nominal abbreviation used by Knights of the Order of the Garter, the highest order of chivalry in the United Kingdom.
  • E. KG
    KG is the widely used nickname of Kevin Garnett, a Hall of Fame NBA forward known for his intensity, defensive prowess, and versatility.
  • 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: KG 200
Triple: [John Clive, notableWork, KG 200]
Generated description
KG 200 is a historical non-fiction book by John Clive that examines the secret operations of a special Luftwaffe unit during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KG 200
Target entity description: KG 200 is a historical non-fiction book by John Clive that examines the secret operations of a special Luftwaffe unit during World War II.
  • A. KG 53
    KG 53 was a Luftwaffe bomber wing of Nazi Germany during World War II, known for its operations on both the Eastern and Western Fronts.
  • B. KGH
    KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
  • C. KJ-500
    The KJ-500 is a modern Chinese airborne early warning and control (AEW&C) aircraft featuring a fixed dorsal radar dome and advanced phased-array radar systems for long-range airspace surveillance and battle management.
  • D. KG
    KG is the post-nominal abbreviation used by Knights of the Order of the Garter, the highest order of chivalry in the United Kingdom.
  • E. KG
    KG is the widely used nickname of Kevin Garnett, a Hall of Fame NBA forward known for his intensity, defensive prowess, and versatility.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0155430819097c806ee407dc1e4 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e84ddd24819094a47269023f9889 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e8d04e508190916455fa2f4702b5 completed March 12, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_69b2ed0f862c81909d9a279bea549339 completed March 12, 2026, 4:42 p.m.
Created at: March 8, 2026, 3:10 p.m.