Triple

T25866912
Position Surface form Disambiguated ID Type / Status
Subject Continental Mark IV E651641 entity
Predicate trimLevel P11486 FINISHED
Object Designer Series (Cartier)
Designer Series (Cartier) was a special luxury trim package co-branded with Cartier for the Lincoln Continental Mark IV, featuring upgraded materials and distinctive styling cues.
E1699241 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: Designer Series (Cartier) | Statement: [Continental Mark IV, trimLevel, Designer Series (Cartier)]
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: Designer Series (Cartier)
Triple: [Continental Mark IV, trimLevel, Designer Series (Cartier)]
Generated description
Designer Series (Cartier) was a special luxury trim package co-branded with Cartier for the Lincoln Continental Mark IV, featuring upgraded materials and distinctive styling cues.

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_69e7ab3a199c81909227cb964cacfe24 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f602d8f9888190ba2cacc723cc9633 completed May 2, 2026, 1:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10da43d304819081b074f1e9ee0cb7 completed May 22, 2026, 10:35 p.m.
NEDg Description generation batch_6a10df335ba08190817c6f32bfd16055 completed May 22, 2026, 10:56 p.m.
NED2 Entity disambiguation (via description) batch_6a10e473d0348190bd255b2acdd624bf completed May 22, 2026, 11:19 p.m.
Created at: April 22, 2026, 8:07 a.m.