Triple

T34908312

Position	Surface form	Disambiguated ID	Type / Status
Subject	Theodore Honey	`E1006792`	entity
Predicate	aircraftTypeHeStudies	`P163889`	FINISHED
Object	Reindeer airliner The Reindeer airliner is a fictional British passenger aircraft featured in Nevil Shute’s novel and its film adaptation "No Highway," serving as the central focus of an investigation into metal fatigue and air safety.	`E2117819`	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: Reindeer airliner | Statement: [Theodore Honey, aircraftTypeHeStudies, Reindeer airliner]

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: Reindeer airliner
Triple: [Theodore Honey, aircraftTypeHeStudies, Reindeer airliner]

Generated description

The Reindeer airliner is a fictional British passenger aircraft featured in Nevil Shute’s novel and its film adaptation "No Highway," serving as the central focus of an investigation into metal fatigue and air safety.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: aircraftTypeHeStudies
Context triple: [Theodore Honey, aircraftTypeHeStudies, Reindeer airliner]

A. aircraftType
Indicates the specific model or category of aircraft associated with an entity or event.
B. typeOfAviation
Indicates the specific category or kind of aviation to which an entity belongs (e.g., commercial, military, private).
C. poweredAircraftType
Indicates that one entity is a type or category of aircraft that is propelled by an onboard power source (e.g., engines), as opposed to being unpowered.
D. aircraftTypeManaged
Indicates that one entity is responsible for managing or overseeing a particular type or category of aircraft.
E. aircraftTypeSpecialty chosen
Indicates that an entity has a specialized focus, qualification, or expertise related to a particular type of aircraft.
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_69f76dc1b4a081909b4c6e4d8ec0aa2d`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69f782c98fa08190870b68de2c1ff26a`	completed	May 3, 2026, 5:15 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3786edcd0481909c6f15746c66538e`	completed	June 21, 2026, 6:38 a.m.
NEDg	Description generation	`batch_6a379ec2fdc08190bc9613d71f1386ec`	completed	June 21, 2026, 8:20 a.m.
NED2	Entity disambiguation (via description)	`batch_6a37a06f04f88190a4cc9917c5b42aec`	completed	June 21, 2026, 8:27 a.m.
PD	Predicate disambiguation	`batch_69f781020cc4819088c40cb8589504e4`	completed	May 3, 2026, 5:08 p.m.

Created at: May 3, 2026, 4 p.m.