Triple

T29861727
Position Surface form Disambiguated ID Type / Status
Subject Harvey Penick E758334 entity
Predicate employer P7 FINISHED
Object Austin Country Club
Austin Country Club is a historic private golf club in Austin, Texas, renowned as the longtime home course of legendary golf instructor Harvey Penick and host of prominent professional tournaments.
E1889323 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: Austin Country Club | Statement: [Harvey Penick, employer, Austin Country Club]
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: Austin Country Club
Triple: [Harvey Penick, employer, Austin Country Club]
Generated description
Austin Country Club is a historic private golf club in Austin, Texas, renowned as the longtime home course of legendary golf instructor Harvey Penick and host of prominent professional tournaments.

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_69f2245b4dec8190b85f664d918a00a5 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f67685c8c0819089a31631bfba0797 completed May 2, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26f1c93d548190ab178a5b89138f5a completed June 8, 2026, 4:46 p.m.
NEDg Description generation batch_6a26f2b6ed148190bdfa9ce79ce2c87e completed June 8, 2026, 4:49 p.m.
NED2 Entity disambiguation (via description) batch_6a26f3e3934c8190affd23330fab3e3e completed June 8, 2026, 4:54 p.m.
Created at: April 29, 2026, 5:49 p.m.