Triple

T36187650
Position Surface form Disambiguated ID Type / Status
Subject World Wrestling Federation E1046891 entity
Predicate featuredPerformer P17435 FINISHED
Object The Rock
The Rock is the ring name of Dwayne Johnson, a hugely popular professional wrestler-turned-actor known for his charismatic persona and success in both sports entertainment and Hollywood films.
E318018 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: The Rock | Statement: [World Wrestling Federation, featuredPerformer, The Rock]
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: The Rock
Triple: [World Wrestling Federation, featuredPerformer, The Rock]
Generated description
The Rock is the ring name of Dwayne Johnson, a hugely popular professional wrestler-turned-actor known for his charismatic persona and success in both sports entertainment and Hollywood films.

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_69f76e3d4fbc81908c159c7beeb4ce00 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b5159e5c81908f8ac93fa29b22ea completed May 3, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a393411cf2481909563dab50468a194 completed June 22, 2026, 1:09 p.m.
NEDg Description generation batch_6a3935adb5c88190b267686d7d10a817 completed June 22, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_6a39366f3ecc8190b9eadda7e09f14f6 completed June 22, 2026, 1:19 p.m.
Created at: May 3, 2026, 4:08 p.m.