Triple

T26204214
Position Surface form Disambiguated ID Type / Status
Subject Pebble Beach Golf Links E655316 entity
Predicate hasHostedMajorChampionship P161461 FINISHED
Object U.S. Open 1972
The U.S. Open 1972 was a major golf championship won by Jack Nicklaus, remembered especially for his famous 1-iron shot on the 17th hole at Pebble Beach.
E1715582 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: U.S. Open 1972 | Statement: [Pebble Beach Golf Links, hasHostedMajorChampionship, U.S. Open 1972]
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: U.S. Open 1972
Triple: [Pebble Beach Golf Links, hasHostedMajorChampionship, U.S. Open 1972]
Generated description
The U.S. Open 1972 was a major golf championship won by Jack Nicklaus, remembered especially for his famous 1-iron shot on the 17th hole at Pebble Beach.

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_69ee5b49adb4819086545280d4ef6337 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f64cb2b5f4819092e363d5076cddbb completed May 2, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11858429ac8190955894142ddef431 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a11861f5bd08190873109d86ffaca0a completed May 23, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a1186f95c8c8190ab60afefe537a971 completed May 23, 2026, 10:52 a.m.
Created at: April 26, 2026, 8:50 p.m.