Triple

T35805829
Position Surface form Disambiguated ID Type / Status
Subject Dolph Ziggler E1035098 entity
Predicate birthName P65 FINISHED
Object Nicholas Theodore Nemeth
Nicholas Theodore Nemeth is an American professional wrestler and comedian best known for his long tenure in WWE under the ring name Dolph Ziggler.
E2156157 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: Nicholas Theodore Nemeth | Statement: [Dolph Ziggler, birthName, Nicholas Theodore Nemeth]
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: Nicholas Theodore Nemeth
Triple: [Dolph Ziggler, birthName, Nicholas Theodore Nemeth]
Generated description
Nicholas Theodore Nemeth is an American professional wrestler and comedian best known for his long tenure in WWE under the ring name Dolph Ziggler.

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_69f76e169bd081909f16cd8c9ee7870c completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a8d742bc819086edf930657d658e completed May 3, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38916e5b0481908c47addd6f929756 completed June 22, 2026, 1:35 a.m.
NEDg Description generation batch_6a38922d9814819089669865036c8474 completed June 22, 2026, 1:38 a.m.
NED2 Entity disambiguation (via description) batch_6a3892ae3d608190b6594f287fa7ff6d completed June 22, 2026, 1:41 a.m.
Created at: May 3, 2026, 4:06 p.m.