Triple

T28380531
Position Surface form Disambiguated ID Type / Status
Subject Picasso's early Paris years E718877 entity
Predicate hasWork P6260 FINISHED
Object The Tragedy
The Tragedy is a somber Blue Period painting by Pablo Picasso that depicts three melancholy figures on a desolate beach, exemplifying his early Parisian exploration of human suffering and emotional depth.
 E1817414 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 Tragedy | Statement: [Picasso's early Paris years, hasWork, The Tragedy]
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 Tragedy
Triple: [Picasso's early Paris years, hasWork, The Tragedy]
Generated description
The Tragedy is a somber Blue Period painting by Pablo Picasso that depicts three melancholy figures on a desolate beach, exemplifying his early Parisian exploration of human suffering and emotional depth.

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_69eff6ee5afc8190bd7375a29f0cc6c6 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64cb60b7c8190815f68687f412919 completed May 2, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a16330041bc81908200ec604086407d completed May 26, 2026, 11:55 p.m.
NEDg Description generation batch_6a1633f6ab3c819084c6626f012a75da completed May 26, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_6a16350e130c8190a9a73ee1edce0928 completed May 27, 2026, 12:04 a.m.
Created at: April 28, 2026, 1:06 a.m.