Triple

T27611462
Position Surface form Disambiguated ID Type / Status
Subject Nick Price E700334 entity
Predicate majorWin P56419 FINISHED
Object 1994 PGA Championship
The 1994 PGA Championship was a major golf tournament held at Southern Hills Country Club in Tulsa, Oklahoma, where Nick Price secured his second PGA Championship title.
E1784043 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: 1994 PGA Championship | Statement: [Nick Price, majorWin, 1994 PGA Championship]
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: 1994 PGA Championship
Triple: [Nick Price, majorWin, 1994 PGA Championship]
Generated description
The 1994 PGA Championship was a major golf tournament held at Southern Hills Country Club in Tulsa, Oklahoma, where Nick Price secured his second PGA Championship title.

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_69ef6a4f1d9c8190b0705acda054368d completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f6309f32988190b6512c15d0c5c2a1 completed May 2, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12da8486888190b3c228233b90facb completed May 24, 2026, 11:01 a.m.
NEDg Description generation batch_6a12db2833688190af921e97c6e5d05d completed May 24, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_6a12db977df48190b71bce8408b51269 completed May 24, 2026, 11:05 a.m.
Created at: April 27, 2026, 2:11 p.m.