Triple

T23753435
Position Surface form Disambiguated ID Type / Status
Subject Trey Smith E587037 entity
Predicate alsoKnownAs P39 FINISHED
Object Willard Carroll Smith III
Willard Carroll Smith III, better known as Trey Smith, is an American DJ, actor, and the eldest son of actor Will Smith.
 E1689478 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: Willard Carroll Smith III | Statement: [Trey Smith, alsoKnownAs, Willard Carroll Smith III]
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: Willard Carroll Smith III
Triple: [Trey Smith, alsoKnownAs, Willard Carroll Smith III]
Generated description
Willard Carroll Smith III, better known as Trey Smith, is an American DJ, actor, and the eldest son of actor Will Smith.

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_69e2490a0eec81908cdef8a862828d7a completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1bcc3a06c81908e8a6e1f531c73bc completed April 29, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10c0fda8488190a17529d2846b5b1a completed May 22, 2026, 8:47 p.m.
NEDg Description generation batch_6a10c2eee95481908b782308c2a2e5cc completed May 22, 2026, 8:56 p.m.
NED2 Entity disambiguation (via description) batch_6a10c36b20a0819084d94066362937ee completed May 22, 2026, 8:58 p.m.
Created at: April 17, 2026, 7:13 p.m.