Triple

T33205463
Position Surface form Disambiguated ID Type / Status
Subject tumor necrosis factor alpha E850005 entity
Predicate associatedWithDisease P37 FINISHED
Object rheumatoid arthritis
Rheumatoid arthritis is a chronic autoimmune disease characterized by persistent joint inflammation, pain, and progressive joint damage that can lead to disability.
E2042584 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: rheumatoid arthritis | Statement: [tumor necrosis factor alpha, associatedWithDisease, rheumatoid arthritis]
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: rheumatoid arthritis
Triple: [tumor necrosis factor alpha, associatedWithDisease, rheumatoid arthritis]
Generated description
Rheumatoid arthritis is a chronic autoimmune disease characterized by persistent joint inflammation, pain, and progressive joint damage that can lead to disability.

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_69f3495efedc8190843a5728089544b9 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6da2687908190aa838b6a334b7a90 completed May 3, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a352fc40600819092779618431f0ec2 completed June 19, 2026, 12:02 p.m.
NEDg Description generation batch_6a353033d4808190b4d8096162a14557 completed June 19, 2026, 12:04 p.m.
NED2 Entity disambiguation (via description) batch_6a353298f99c8190a2774b4aab087295 completed June 19, 2026, 12:14 p.m.
Created at: May 1, 2026, 1:30 a.m.