Triple

T36716820
Position Surface form Disambiguated ID Type / Status
Subject Nancy Lopez E906933 entity
Predicate wonMajorChampionship P67310 FINISHED
Object LPGA Championship 1985
The LPGA Championship 1985 was a major women's professional golf tournament on the LPGA Tour, notable for being one of Nancy Lopez's major championship victories.
E2197887 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: LPGA Championship 1985 | Statement: [Nancy Lopez, wonMajorChampionship, LPGA Championship 1985]
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: LPGA Championship 1985
Triple: [Nancy Lopez, wonMajorChampionship, LPGA Championship 1985]
Generated description
The LPGA Championship 1985 was a major women's professional golf tournament on the LPGA Tour, notable for being one of Nancy Lopez's major championship victories.

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_69f76e73ad108190a5241585f2303e9a completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c841388481909a408b704b30f9c7 completed May 3, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3c172611388190af06e6eff80bf18c completed June 24, 2026, 5:43 p.m.
NEDg Description generation batch_6a3c18e8a1d08190893981cb33c6f4ed completed June 24, 2026, 5:50 p.m.
NED2 Entity disambiguation (via description) batch_6a3c6c2ed2fc819095e9909ff3e18f39 completed June 24, 2026, 11:45 p.m.
Created at: May 3, 2026, 4:12 p.m.