Triple

T13156412
Position Surface form Disambiguated ID Type / Status
Subject Dornier Do 335 Pfeil E312599 entity
Predicate NATOReportingName P6062 FINISHED
Object Arrow
Arrow is the NATO reporting name for the German World War II heavy fighter aircraft Dornier Do 335 Pfeil, notable for its unique push-pull twin-engine configuration and exceptional speed.
 E1024494 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: Arrow | Statement: [Dornier Do 335 Pfeil, NATOReportingName, Arrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arrow
Context triple: [Dornier Do 335 Pfeil, NATOReportingName, Arrow]
  • A. Arrow
    Arrow is the English translation of "Freccia," the nickname of the Italian World War II fighter aircraft Fiat G.50.
  • B. Arrow
    Arrow is a common English surname borne by various individuals, including the influential economist Kenneth Arrow.
  • C. Arrow
    Arrow is a popular American superhero television series based on the DC Comics character Green Arrow, known for launching the interconnected "Arrowverse" franchise.
  • D. Arrow
    Arrow is a regional passenger rail service brand used for trains operating between San Bernardino and Redlands in Southern California.
  • E. Arrow
    Arrow is a long-established American clothing brand best known for its men’s dress shirts and formalwear.
  • 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: Arrow
Triple: [Dornier Do 335 Pfeil, NATOReportingName, Arrow]
Generated description
Arrow is the NATO reporting name for the German World War II heavy fighter aircraft Dornier Do 335 Pfeil, notable for its unique push-pull twin-engine configuration and exceptional speed.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arrow
Target entity description: Arrow is the NATO reporting name for the German World War II heavy fighter aircraft Dornier Do 335 Pfeil, notable for its unique push-pull twin-engine configuration and exceptional speed.
  • A. Arrow
    Arrow is the English translation of "Freccia," the nickname of the Italian World War II fighter aircraft Fiat G.50.
  • B. Arrow
    Arrow is a popular American superhero television series based on the DC Comics character Green Arrow, known for launching the interconnected "Arrowverse" franchise.
  • C. Arrow
    Arrow is a common English surname borne by various individuals, including the influential economist Kenneth Arrow.
  • D. Arrow
    Arrow is a regional passenger rail service brand used for trains operating between San Bernardino and Redlands in Southern California.
  • E. Arrow
    Arrow is a long-established American clothing brand best known for its men’s dress shirts and formalwear.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c06ccb881909390df18e1a6f7ed completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf06f408190949f9ed5e899815b completed May 3, 2026, 6:28 a.m.
NEDg Description generation batch_69f6f07d52788190a39bc4fe049bcf5e completed May 3, 2026, 6:51 a.m.
NED2 Entity disambiguation (via description) batch_69f6f0d6eb2c81908463125a922edc9c completed May 3, 2026, 6:53 a.m.
Created at: April 9, 2026, 9:12 p.m.