Triple

T29703076
Position Surface form Disambiguated ID Type / Status
Subject HMS Thetis E751543 entity
Predicate notableSurvivor P2116 FINISHED
Object Leading Stoker Walter Arnold
Leading Stoker Walter Arnold was a Royal Navy sailor best known as one of the few survivors of the 1939 sinking of the British submarine HMS Thetis.
E1879933 NE FINISHED

How this triple was built (2 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: Leading Stoker Walter Arnold | Statement: [HMS Thetis, notableSurvivor, Leading Stoker Walter Arnold]
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: Leading Stoker Walter Arnold
Triple: [HMS Thetis, notableSurvivor, Leading Stoker Walter Arnold]
Generated description
Leading Stoker Walter Arnold was a Royal Navy sailor best known as one of the few survivors of the 1939 sinking of the British submarine HMS Thetis.

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_69f0d6266f8481909e70bb41cda18587 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672b5fcf88190b3f6b1d57529ea8a completed May 2, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a267ed472e48190ac42f2b04573abf9 completed June 8, 2026, 8:35 a.m.
NEDg Description generation batch_6a2682d3fa3c81909e0736cb74338f7e completed June 8, 2026, 8:52 a.m.
NED2 Entity disambiguation (via description) batch_6a26883b773081908ee6cad8a66f0251 completed June 8, 2026, 9:15 a.m.
Created at: April 28, 2026, 7:25 p.m.