Triple

T38350491
Position Surface form Disambiguated ID Type / Status
Subject Isaac Julien E1041668 entity
Predicate notableWork P4 FINISHED
Object The Long Road to Mazatlán
The Long Road to Mazatlán is a 1999 multi-screen video installation by British artist Isaac Julien that explores queer desire, masculinity, and the mythic American West through stylized, cinematic imagery.
E2265679 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 Long Road to Mazatlán | Statement: [Isaac Julien, notableWork, The Long Road to Mazatlán]
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 Long Road to Mazatlán
Triple: [Isaac Julien, notableWork, The Long Road to Mazatlán]
Generated description
The Long Road to Mazatlán is a 1999 multi-screen video installation by British artist Isaac Julien that explores queer desire, masculinity, and the mythic American West through stylized, cinematic imagery.

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_69f76e2ad95481908c920c0e5c1c3e26 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc6f626dc8190b790144719665692 completed May 7, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41a7f92c3881908b32c21892c2611c completed June 28, 2026, 11:02 p.m.
NEDg Description generation batch_6a41a9fcb48881908e9ca5a3b4d4320c completed June 28, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_6a41aa693d88819083b55ae8c5c238b2 completed June 28, 2026, 11:12 p.m.
Created at: May 3, 2026, 4:30 p.m.