Triple

T23688203
Position Surface form Disambiguated ID Type / Status
Subject Hubert Davis E585223 entity
Predicate relative P37 FINISHED
Object Walter Davis
Walter Davis is a former American professional basketball player best known for his NBA All-Star career with the Phoenix Suns.
E1598281 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: Walter Davis | Statement: [Hubert Davis, relative, Walter Davis]
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: Walter Davis
Triple: [Hubert Davis, relative, Walter Davis]
Generated description
Walter Davis is a former American professional basketball player best known for his NBA All-Star career with the Phoenix Suns.

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_69e249037ce0819088b149608e98f685 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b5bfe15c8190af2b4c451bccae16 completed April 29, 2026, 7:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f53aa378881908b49d5db59d84cad completed May 21, 2026, 6:49 p.m.
NEDg Description generation batch_6a0f5537b2c081909bf3e35e1a1a6460 completed May 21, 2026, 6:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f55e3f1408190b933d6857ebf933b completed May 21, 2026, 6:58 p.m.
Created at: April 17, 2026, 6:52 p.m.