Triple

T28337643
Position Surface form Disambiguated ID Type / Status
Subject Caproni Ca.60 Noviplano E717720 entity
Predicate pilotInCrash P89185 FINISHED
Object Federico Semprini
Federico Semprini was the test pilot involved in the fatal crash of the experimental Italian flying boat prototype Caproni Ca.60 Noviplano in 1921.
 E1882224 NE FINISHED

How this triple was built (3 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: Federico Semprini | Statement: [Caproni Ca.60 Noviplano, pilotInCrash, Federico Semprini]
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: Federico Semprini
Triple: [Caproni Ca.60 Noviplano, pilotInCrash, Federico Semprini]
Generated description
Federico Semprini was the test pilot involved in the fatal crash of the experimental Italian flying boat prototype Caproni Ca.60 Noviplano in 1921.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: pilotInCrash
Context triple: [Caproni Ca.60 Noviplano, pilotInCrash, Federico Semprini]
  • A. pilotAtFatalCrash chosen
    Indicates that the specified person was serving as the pilot at the time and location of a fatal crash.
  • B. crashLandsIn
    Indicates that an entity descends and lands in a location or object in an uncontrolled or damaging manner.
  • C. aircraftImpact
    Indicates that an aircraft collides with or crashes into a target or surface, causing an impact event.
  • D. aircraftAccident
    Indicates that an event involves an aircraft experiencing an accident, such as a crash, collision, or serious malfunction during operation.
  • E. missionAccident
    Indicates that an accident or unintended harmful event occurred during the course of a mission or operation.
  • F. None of above.

Provenance (6 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_69eff6eb30388190b898b96c4be6f49d completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64bd68ac08190b35887261657a408 completed May 2, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26aa4bced0819080cacb8489023f0a completed June 8, 2026, 11:41 a.m.
NEDg Description generation batch_6a26b573e54881908b4605220884aac0 completed June 8, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_6a26b942692081909ee799b9bca81112 completed June 8, 2026, 12:44 p.m.
PD Predicate disambiguation batch_69f641e2f1708190b45b48d6a43c51d2 completed May 2, 2026, 6:26 p.m.
Created at: April 28, 2026, 12:37 a.m.