Triple

T31282571
Position Surface form Disambiguated ID Type / Status
Subject Westworld E797712 entity
Predicate starring P1507 FINISHED
Object Norman Bartold
Norman Bartold was an American character actor known for his numerous television and film appearances in the 1960s and 1970s.
E1957070 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: Norman Bartold | Statement: [Westworld, starring, Norman Bartold]
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: Norman Bartold
Triple: [Westworld, starring, Norman Bartold]
Generated description
Norman Bartold was an American character actor known for his numerous television and film appearances in the 1960s and 1970s.

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_69f224def9088190a37034eab3daf57f completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69e00bbe88190b8e807d2a9522bc2 completed May 3, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a1e2c0e9c81908b83a36b44c7329f completed June 11, 2026, 2:32 a.m.
NEDg Description generation batch_6a2a2db5470081908c094fb8f5b0d047 completed June 11, 2026, 3:38 a.m.
NED2 Entity disambiguation (via description) batch_6a2a2e3def50819084a2a2a1104c061a completed June 11, 2026, 3:40 a.m.
Created at: April 29, 2026, 9:13 p.m.