Triple

T24653185
Position Surface form Disambiguated ID Type / Status
Subject University of Akron men's basketball team E610311 entity
Predicate conferenceShortName P3613 FINISHED
Object MAC
MAC is the Mid-American Conference, a collegiate athletic conference in the United States that sponsors NCAA Division I sports, including men's basketball.
E361573 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: MAC | Statement: [University of Akron men's basketball team, conferenceShortName, MAC]
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: MAC
Triple: [University of Akron men's basketball team, conferenceShortName, MAC]
Generated description
MAC is the Mid-American Conference, a collegiate athletic conference in the United States that sponsors NCAA Division I sports, including men's basketball.

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_69e2c4d350a481909170482bc2ce6af9 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f40f8917548190a21c4c423b96aedc completed May 1, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10049ac3a481909fc8eae6b8f9cdf8 completed May 22, 2026, 7:24 a.m.
NEDg Description generation batch_6a10095d986881909082cc5a32b6d56e completed May 22, 2026, 7:44 a.m.
NED2 Entity disambiguation (via description) batch_6a1009d311b08190acf35a3ed552b9c1 completed May 22, 2026, 7:46 a.m.
Created at: April 18, 2026, 2:34 a.m.