Triple

T36653060
Position Surface form Disambiguated ID Type / Status
Subject Tasha Mack E904914 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Rick Fox (character in The Game)
Rick Fox is a recurring character on the TV series "The Game," portrayed as a charismatic former NBA star who becomes romantically involved with Tasha Mack.
E2194193 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: Rick Fox (character in The Game) | Statement: [Tasha Mack, hasRelationshipWith, Rick Fox (character in The Game)]
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: Rick Fox (character in The Game)
Triple: [Tasha Mack, hasRelationshipWith, Rick Fox (character in The Game)]
Generated description
Rick Fox is a recurring character on the TV series "The Game," portrayed as a charismatic former NBA star who becomes romantically involved with Tasha Mack.

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_69f76e6d3a3c81909db73eda9e0516bd completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c734818c81909a42160fee822b18 completed May 3, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a20cabc5c8190916baba37263f0bf completed June 23, 2026, 5:59 a.m.
NEDg Description generation batch_6a3a21fb6a2c8190b554fa1a6d7a28c2 completed June 23, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a3a2301ed048190826eaba7cfba00ed completed June 23, 2026, 6:09 a.m.
Created at: May 3, 2026, 4:11 p.m.