Triple

T31768752
Position Surface form Disambiguated ID Type / Status
Subject Paul Derr Track E810878 entity
Predicate tenant P75 FINISHED
Object NC State Wolfpack track and field
NC State Wolfpack track and field is the collegiate track and field program representing North Carolina State University in NCAA Division I competition.
E1981339 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: NC State Wolfpack track and field | Statement: [Paul Derr Track, tenant, NC State Wolfpack track and field]
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: NC State Wolfpack track and field
Triple: [Paul Derr Track, tenant, NC State Wolfpack track and field]
Generated description
NC State Wolfpack track and field is the collegiate track and field program representing North Carolina State University in NCAA Division I competition.

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_69f348e463e08190b902d4819195e1f0 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6abadf4408190a848007166af0a96 completed May 3, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e6590b64c8190b32ad245148857af completed June 14, 2026, 8:25 a.m.
NEDg Description generation batch_6a2e679a27cc819092fa23c948d8a67f completed June 14, 2026, 8:34 a.m.
NED2 Entity disambiguation (via description) batch_6a2e6bdda1408190ac4f4590ce9ede59 completed June 14, 2026, 8:52 a.m.
Created at: April 30, 2026, 11:33 p.m.